Triple
T11676303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keikyu Corporation |
E277499
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Keikyu |
E548853
|
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: Keikyu | Statement: [Keikyu Corporation, shortName, Keikyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keikyu Context triple: [Keikyu Corporation, shortName, Keikyu]
-
A.
Miyakejima
Miyakejima is a volcanic island in the Izu archipelago of Japan, known for its active volcano, frequent eruptions, and unique gas-monitoring measures affecting residents and visitors.
-
B.
Keikyū
chosen
Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
-
C.
Jinoshima
Jinoshima is one of the uninhabited Tomogashima Islands in Japan, known for its rugged natural scenery and remnants of former military fortifications.
-
D.
Sannō-jima
Sannō-jima is a small Japanese island that forms part of the remote Mukojima subgroup within the Ogasawara (Bonin) Islands in the Pacific Ocean.
-
E.
Yome-jima
Yome-jima is a small uninhabited island that is part of the Ogasawara (Bonin) Islands chain in the Pacific Ocean, known for its rugged coastline and protected natural environment.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b366470819093a74828e2a85116 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 8, 2026, 9:40 p.m.