Triple
T5050182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiji Jingu Stadium |
E113764
|
entity |
| Predicate | transportAccess |
P1288
|
FINISHED |
| Object | Shinanomachi Station |
E445638
|
NE FINISHED |
How this triple was built (2 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: Shinanomachi Station | Statement: [Meiji Jingu Stadium, transportAccess, Shinanomachi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinanomachi Station Context triple: [Meiji Jingu Stadium, transportAccess, Shinanomachi Station]
-
A.
Shinanomachi Station
chosen
Shinanomachi Station is a railway station in Shinjuku, Tokyo, serving the JR Chūō-Sōbu Line and providing access to nearby sports and medical facilities.
-
B.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
C.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
D.
Shiyakusho Station
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
-
E.
Shijō Station
Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7425df74819091cfde348dd16a68 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f416ab88e48190b3089caab7987191 |
completed | May 1, 2026, 2:57 a.m. |
Created at: March 20, 2026, 1:37 p.m.