Triple
T3530409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinagawa |
E74645
|
entity |
| Predicate | hasRailwayHub |
P1071
|
FINISHED |
| Object | Oimachi Station |
E592765
|
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: Oimachi Station | Statement: [Shinagawa, hasRailwayHub, Oimachi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oimachi Station Context triple: [Shinagawa, hasRailwayHub, Oimachi Station]
-
A.
Oimachi Station
chosen
Oimachi Station is a major railway hub in Tokyo’s Shinagawa ward, serving multiple train and subway lines and connecting local neighborhoods with central and suburban areas of the city.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Shiyakusho Station
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
-
D.
Itami Station
Itami Station is a railway station in Itami, Hyōgo Prefecture, Japan, operated by JR West and serving as a stop on the Fukuchiyama (JR Takarazuka) Line.
-
E.
Ogimachi Station
Ogimachi Station is a railway station in Osaka, Japan, serving local commuter traffic and providing access to nearby commercial and residential areas.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9764a881908aa8d25dc9adf59e |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d016a0027c81908d3454447fa461b2 |
completed | April 3, 2026, 7:36 p.m. |
Created at: March 8, 2026, 3:19 p.m.