Triple
T1195515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keio Inokashira Line |
E25658
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Meidaimae Station |
E357746
|
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: Meidaimae Station | Statement: [Keio Inokashira Line, hasStation, Meidaimae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meidaimae Station Context triple: [Keio Inokashira Line, hasStation, Meidaimae 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.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
C.
Shindaita Station
chosen
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
D.
Shuri Station
Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
-
E.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd78f61c8190bdba2255d35a8fe4 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367d6290081908f67eac0b7f6c53c |
completed | March 13, 2026, 1:26 a.m. |
Created at: March 1, 2026, 7:46 p.m.