Triple
T13531682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wacoal |
E323147
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Wacoal Europe |
E323147
|
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: Wacoal Europe | Statement: [Wacoal, hasSubsidiary, Wacoal Europe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wacoal Europe Context triple: [Wacoal, hasSubsidiary, Wacoal Europe]
-
A.
Wacoal
chosen
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
-
B.
Maidenform
Maidenform is a well-known American lingerie and shapewear brand recognized for its bras, panties, and intimate apparel.
-
C.
Limited Brands, Inc.
Limited Brands, Inc. was the former corporate name of L Brands, the American retail company best known for owning brands such as Victoria’s Secret and Bath & Body Works.
-
D.
Neikea
Neikea are minor Greek deities or personifications associated with quarrels, feuds, and grievances, traditionally counted among the many troublesome offspring of the goddess Eris.
-
E.
The LYCRA Company
The LYCRA Company is a global textile and materials firm best known for developing and marketing LYCRA-branded elastane fibers used widely in apparel and performance fabrics.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbb34548190a6b44faa48125cd4 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba9fccc81908ec2e33d66aae8ea |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.