Triple
T1895665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobutsuen-mae Station |
E41975
|
entity |
| Predicate | adjacentToStation |
P30238
|
FINISHED |
| Object |
Tengachaya Station
Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
|
E527252
|
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: Tengachaya Station | Statement: [Dobutsuen-mae Station, adjacentToStation, Tengachaya Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tengachaya Station Context triple: [Dobutsuen-mae Station, adjacentToStation, Tengachaya Station]
-
A.
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.
-
B.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
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.
Tawaramachi Station
Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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: Tengachaya Station Triple: [Dobutsuen-mae Station, adjacentToStation, Tengachaya Station]
Generated description
Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tengachaya Station Target entity description: Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
-
A.
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.
-
B.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
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.
Tawaramachi Station
Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16d6674819084a891e3bf23bd83 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe1423aa481909fd062c54779a3a2 |
completed | March 22, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69bfe2090dc881908f34713715512abc |
completed | March 22, 2026, 12:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfe26520d08190a95231410eedc78c |
completed | March 22, 2026, 12:36 p.m. |
Created at: March 4, 2026, 7:35 p.m.