Triple
T2480177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amagasaki Station |
E55794
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Kōri Station
Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
|
E585045
|
NE FINISHED |
How this triple was built (4 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: Kōri Station | Statement: [Amagasaki Station, adjacentTo, Kōri Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōri Station Context triple: [Amagasaki Station, adjacentTo, Kōri Station]
-
A.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
B.
Kecun Station
Kecun Station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China.
-
C.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
D.
Daikan-yama Station
Daikan-yama Station is a railway station in Tokyo, Japan, serving the trendy Daikanyama neighborhood with access to the Tokyu Toyoko Line.
-
E.
Tengachaya Station
Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
- 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: Kōri Station Triple: [Amagasaki Station, adjacentTo, Kōri Station]
Generated description
Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kōri Station Target entity description: Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
-
A.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
B.
Kecun Station
Kecun Station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China.
-
C.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
D.
Daikan-yama Station
Daikan-yama Station is a railway station in Tokyo, Japan, serving the trendy Daikanyama neighborhood with access to the Tokyu Toyoko Line.
-
E.
Tengachaya Station
Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
- F. None of above. chosen
Provenance (5 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd160a9708190b28d2f5538ea129a |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3777eac81908880498eaa6c1046 |
completed | March 27, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69c5f8a29c388190a9226367bfdfc082 |
completed | March 27, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f8f3accc81909d87fc4cda30cb05 |
completed | March 27, 2026, 3:26 a.m. |
Created at: March 6, 2026, 9:45 p.m.