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.