Triple
T22449909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UA |
E554962
|
entity |
| Predicate | associatedWithCompanyMarket |
P148240
|
FINISHED |
| Object | global sportswear market |
—
|
LITERAL 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: global sportswear market | Statement: [UA, associatedWithCompanyMarket, global sportswear market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCompanyMarket Context triple: [UA, associatedWithCompanyMarket, global sportswear market]
-
A.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
B.
associatedWithCompanyLogo
Indicates a relationship where something is linked or connected to a specific company’s logo, such as by use, display, or representation.
-
C.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
D.
associatedCompanyGlobalScope
Indicates that there is a relationship linking an entity to a company at a global (worldwide) organizational scope.
-
E.
associatedWithCompanySize
Indicates that an entity has a relationship to, or is characterized or categorized by, the size of a company (e.g., small, medium, large).
- F. None of above. chosen
Provenance (4 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.