Triple
T15916361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast Retailing |
E385979
|
entity |
| Predicate | legalForm |
P64
|
FINISHED |
| Object | Kabushiki gaisha |
E381838
|
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: Kabushiki gaisha | Statement: [Fast Retailing, legalForm, Kabushiki gaisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabushiki gaisha Context triple: [Fast Retailing, legalForm, Kabushiki gaisha]
-
A.
Kabushiki gaisha
chosen
Kabushiki gaisha is a common Japanese joint-stock company structure similar to a corporation, used by many major businesses in Japan.
-
B.
Keio Corporation
Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
-
C.
Koizumi Sangyo Corporation
Koizumi Sangyo Corporation is a Japanese company known for manufacturing and supplying lighting fixtures, electrical equipment, and related industrial products.
-
D.
Nippon Kobo
Nippon Kobo was a Japanese design and architecture firm active in the mid-20th century, known for its collaborations with prominent modernist designers such as Charlotte Perriand.
-
E.
Taisei Corporation
Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15662e2c481909e3582be01f05d08 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05b15e8819083b67afa52f46283 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.