Triple
T2687179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Takarazuka Line |
E57510
|
entity |
| Predicate | hasAccident |
P32122
|
FINISHED |
| Object |
Amagasaki derailment
The Amagasaki derailment was a deadly 2005 train accident in Hyōgo Prefecture, Japan, in which a commuter train left the tracks and crashed into an apartment building, prompting major scrutiny of railway safety practices.
|
E288671
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Amagasaki derailment | Statement: [JR Takarazuka Line, hasAccident, Amagasaki derailment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amagasaki derailment Context triple: [JR Takarazuka Line, hasAccident, Amagasaki derailment]
-
A.
Nagasaki bugyō
Nagasaki bugyō were high-ranking Tokugawa shogunate officials responsible for administering the port city of Nagasaki and overseeing Japan’s tightly controlled foreign trade and relations during the Edo period.
-
B.
Imo Incident
The Imo Incident was an 1882 mutiny of Korean soldiers in Seoul that escalated into violent unrest and foreign intervention, highlighting Korea’s internal instability and vulnerability to outside powers.
-
C.
Musha Incident
The Musha Incident was a 1930 uprising by Indigenous Seediq people against Japanese colonial rule in Taiwan, marked by a violent attack on Japanese settlers and a brutal military crackdown in response.
-
D.
Great Kanto earthquake
The Great Kanto earthquake was a devastating 1923 seismic disaster that struck the Tokyo-Yokohama region of Japan, causing massive destruction and loss of life.
-
E.
Bad Kleinen railway station incident
The Bad Kleinen railway station incident was a 1993 German police operation against members of the Red Army Faction that resulted in a deadly shootout and major controversy over law enforcement conduct.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amagasaki derailment Triple: [JR Takarazuka Line, hasAccident, Amagasaki derailment]
Generated description
The Amagasaki derailment was a deadly 2005 train accident in Hyōgo Prefecture, Japan, in which a commuter train left the tracks and crashed into an apartment building, prompting major scrutiny of railway safety practices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amagasaki derailment Target entity description: The Amagasaki derailment was a deadly 2005 train accident in Hyōgo Prefecture, Japan, in which a commuter train left the tracks and crashed into an apartment building, prompting major scrutiny of railway safety practices.
-
A.
Nagasaki bugyō
Nagasaki bugyō were high-ranking Tokugawa shogunate officials responsible for administering the port city of Nagasaki and overseeing Japan’s tightly controlled foreign trade and relations during the Edo period.
-
B.
Imo Incident
The Imo Incident was an 1882 mutiny of Korean soldiers in Seoul that escalated into violent unrest and foreign intervention, highlighting Korea’s internal instability and vulnerability to outside powers.
-
C.
Musha Incident
The Musha Incident was a 1930 uprising by Indigenous Seediq people against Japanese colonial rule in Taiwan, marked by a violent attack on Japanese settlers and a brutal military crackdown in response.
-
D.
Great Kanto earthquake
The Great Kanto earthquake was a devastating 1923 seismic disaster that struck the Tokyo-Yokohama region of Japan, causing massive destruction and loss of life.
-
E.
Bad Kleinen railway station incident
The Bad Kleinen railway station incident was a 1993 German police operation against members of the Red Army Faction that resulted in a deadly shootout and major controversy over law enforcement conduct.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccident Context triple: [JR Takarazuka Line, hasAccident, Amagasaki derailment]
-
A.
involvedInAccident
chosen
Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
-
B.
accident
Indicates an unintended, unforeseen event or mishap occurring, often resulting in damage, injury, or disruption.
-
C.
resultOfAccident
Indicates that something exists or occurs as a consequence or outcome of an accident.
-
D.
accidentType
Indicates the specific category or kind of accident associated with an event or incident.
-
E.
hasNotableIncident
Indicates that an entity is associated with a significant or noteworthy event, occurrence, or incident.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f080108190ab662a3a064cb5a9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa07228088190bb4942b3a25c938b |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa0ff9c10819096d06ead6dc87d04 |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.