Triple
T15916376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast Retailing |
E385979
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Uniqlo Co., Ltd. |
E82045
|
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: Uniqlo Co., Ltd. | Statement: [Fast Retailing, hasSubsidiary, Uniqlo Co., Ltd.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uniqlo Co., Ltd. Context triple: [Fast Retailing, hasSubsidiary, Uniqlo Co., Ltd.]
-
A.
Uniqlo
chosen
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
B.
Fast Retailing
Fast Retailing is a Japanese multinational retail holding company best known as the owner and operator of the global clothing brand Uniqlo.
-
C.
H&M
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
-
D.
H&M
H&M, in this context, refers to the historic Hudson and Manhattan Railroad, an early 20th-century rapid transit system that connected Manhattan with New Jersey and served as a predecessor to today’s PATH trains.
-
E.
C&A
C&A is a major international fashion retail chain known for offering affordable clothing and accessories across numerous European and global markets.
- 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_69ffbe6e844481908227ec9e46ac9f4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.