Triple
T2301744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu Kyoto Main Line |
E51747
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Awaji Station
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
|
E538894
|
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: Awaji Station | Statement: [Hankyu Kyoto Main Line, passesThrough, Awaji Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awaji Station Context triple: [Hankyu Kyoto Main Line, passesThrough, Awaji Station]
-
A.
Awaza Station
Awaza Station is a subway station in Osaka, Japan, serving as a transfer point between multiple Osaka Metro lines.
-
B.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
C.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
D.
Wakoshi Station
Wakoshi Station is a major railway hub in Wako, Saitama Prefecture, Japan, serving multiple Tokyo Metro and Tobu lines and functioning as an important gateway between Saitama and central Tokyo.
-
E.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
- 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: Awaji Station Triple: [Hankyu Kyoto Main Line, passesThrough, Awaji Station]
Generated description
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Awaji Station Target entity description: Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
-
A.
Awaza Station
Awaza Station is a subway station in Osaka, Japan, serving as a transfer point between multiple Osaka Metro lines.
-
B.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
C.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
D.
Wakoshi Station
Wakoshi Station is a major railway hub in Wako, Saitama Prefecture, Japan, serving multiple Tokyo Metro and Tobu lines and functioning as an important gateway between Saitama and central Tokyo.
-
E.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ef51948190ae828d8ee02feb75 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059b1c950819091ec6706fb06d2e6 |
completed | March 22, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69c05b3696c0819081e869a229fb881f |
completed | March 22, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05bb8a4988190b1b27f42e22d0187 |
completed | March 22, 2026, 9:14 p.m. |
Created at: March 4, 2026, 7:49 p.m.