Triple
T15915898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apex by Sunglass Hut |
E385967
|
entity |
| Predicate | categorySpecialization |
P105583
|
FINISHED |
| Object | performance and sport sunglasses |
—
|
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: performance and sport sunglasses | Statement: [Apex by Sunglass Hut, categorySpecialization, performance and sport sunglasses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categorySpecialization Context triple: [Apex by Sunglass Hut, categorySpecialization, performance and sport sunglasses]
-
A.
productSpecialization
chosen
Indicates that a product is tailored or adapted to meet the specific needs, preferences, or requirements of a particular market segment, use case, or customer group.
-
B.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
C.
creatorSpecialization
Indicates the specific field, discipline, or area of expertise in which a creator primarily works or is specialized.
-
D.
positionSpecialization
Indicates that one position is a more specialized or focused variant of another, broader position.
-
E.
portrayedAsSpecialization
Indicates that one entity is depicted or represented as a specialized or more specific version of another entity.
- F. None of above.
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_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.