Triple
T1860618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitō |
E34802
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Iriya Station
Iriya Station is a railway station in Tokyo, Japan, serving local passengers in the Taitō ward.
|
E525148
|
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: Iriya Station | Statement: [Taitō, hasRailwayStation, Iriya Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iriya Station Context triple: [Taitō, hasRailwayStation, Iriya Station]
-
A.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
B.
Sannomiya Station
Sannomiya Station is a major railway and transportation hub in central Kobe, Japan, serving multiple train and subway lines and providing access to the city's main commercial and tourist areas.
-
C.
Esaka Station
Esaka Station is a major railway and subway hub in Suita, Osaka Prefecture, serving as an important commuter gateway between northern Osaka and central Osaka City.
-
D.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
E.
Toda Station
Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
- 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: Iriya Station Triple: [Taitō, hasRailwayStation, Iriya Station]
Generated description
Iriya Station is a railway station in Tokyo, Japan, serving local passengers in the Taitō ward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iriya Station Target entity description: Iriya Station is a railway station in Tokyo, Japan, serving local passengers in the Taitō ward.
-
A.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
B.
Sannomiya Station
Sannomiya Station is a major railway and transportation hub in central Kobe, Japan, serving multiple train and subway lines and providing access to the city's main commercial and tourist areas.
-
C.
Esaka Station
Esaka Station is a major railway and subway hub in Suita, Osaka Prefecture, serving as an important commuter gateway between northern Osaka and central Osaka City.
-
D.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
E.
Toda Station
Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
- 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_69bf856d4d6481908b99610cf52abc76 |
completed | March 22, 2026, 6 a.m. |
| NEDg | Description generation | batch_69bf8632767c8190bdb5c4f6a505169e |
completed | March 22, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf86ab7b988190953cff2d4387f742 |
completed | March 22, 2026, 6:05 a.m. |
Created at: March 4, 2026, 7:34 p.m.