Triple
T3428044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FOSL |
E72270
|
entity |
| Predicate | issuerBrandFocus |
P18486
|
FINISHED |
| Object | lifestyle accessories |
—
|
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: lifestyle accessories | Statement: [FOSL, issuerBrandFocus, lifestyle accessories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerBrandFocus Context triple: [FOSL, issuerBrandFocus, lifestyle accessories]
-
A.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
B.
issuerSpecialization
Indicates the particular field, domain, or area of expertise in which the issuer is specialized.
-
C.
issuerOperatesIn
Indicates that an issuing entity conducts business activities or has operational presence within a specified geographic area or jurisdiction.
-
D.
brandFocus
chosen
Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
-
E.
issuerFounded
Indicates that one entity is the organization or person that established or created the other entity at its founding.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.