Triple
T11684983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seibu Railway |
E277715
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Seibu Group |
E634068
|
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: Seibu Group | Statement: [Seibu Railway, parentCompany, Seibu Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seibu Group Context triple: [Seibu Railway, parentCompany, Seibu Group]
-
A.
Seibu Group
chosen
Seibu Group is a major Japanese conglomerate with core businesses in railways, hotels, real estate, and leisure services.
-
B.
Tobu Group
Tobu Group is a major Japanese corporate conglomerate centered on Tobu Railway, operating in transportation, retail, real estate, and leisure industries.
-
C.
Keihan Group
Keihan Group is a Japanese corporate conglomerate centered on the Keihan Electric Railway that operates transportation, real estate, retail, and leisure businesses in the Kansai region.
-
D.
Odakyu Group
Odakyu Group is a major Japanese private railway and diversified corporate group centered around Odakyu Electric Railway, operating transportation, retail, real estate, and leisure businesses.
-
E.
Marui Group
Marui Group is a Japanese retail and financial services company best known for operating fashion-oriented department stores and providing credit card and related consumer finance services.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1433be908190b2ac887655a6c85a |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.