Triple
T10912391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isogo Ward, Yokohama |
E257732
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Byōbugaura Station |
E1133867
|
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: Byōbugaura Station | Statement: [Isogo Ward, Yokohama, hasStation, Byōbugaura Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byōbugaura Station Context triple: [Isogo Ward, Yokohama, hasStation, Byōbugaura Station]
-
A.
Byōbugaura Station
chosen
Byōbugaura Station is a railway station in Yokohama, Japan, serving local commuter traffic on the Keikyū Main Line.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Gekkōji Station
Gekkōji Station is a railway station in Fujiyoshida, Yamanashi Prefecture, Japan, serving local passengers near the base of Mount Fuji.
-
D.
Gokurakubashi Station
Gokurakubashi Station is a railway station in Kōya, Wakayama Prefecture, Japan, serving as the gateway terminal for visitors traveling by rail to the sacred Mount Kōya temple complex.
-
E.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f1f80648190a4a0e8260ac95194 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 8, 2026, 9:22 p.m.