Triple
T1860627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitō |
E34802
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
|
E526072
|
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: Minowa Station | Statement: [Taitō, hasRailwayStation, Minowa Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minowa Station Context triple: [Taitō, hasRailwayStation, Minowa Station]
-
A.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
B.
Imazato Station
Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
-
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.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
- 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: Minowa Station Triple: [Taitō, hasRailwayStation, Minowa Station]
Generated description
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minowa Station Target entity description: Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
A.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
B.
Imazato Station
Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
-
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.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09caee881908efe8aa38471298c |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfabdc5b888190b62b7c56c05f6687 |
completed | March 22, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69bfac6e0a908190a094972f890bf9ce |
completed | March 22, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfae1f1a0481909071b8b4f2c99a46 |
completed | March 22, 2026, 8:53 a.m. |
Created at: March 4, 2026, 7:34 p.m.