Triple
T38145445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golf le Fleur* |
E952594
|
entity |
| Predicate | brandNameComponent |
P191144
|
FINISHED |
| Object | Golf |
—
|
NE NERFINISHED |
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: Golf | Statement: [Golf le Fleur*, brandNameComponent, Golf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandNameComponent Context triple: [Golf le Fleur*, brandNameComponent, Golf]
-
A.
brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
-
B.
containsComponentBrand
Indicates that an entity includes, as part of its composition or structure, a component produced or branded by a specified brand.
-
C.
brandNumber
Indicates the identifying number or code assigned to a particular brand within a system or dataset.
-
D.
brandNameRefersTo
Indicates that a given brand name is used to denote or refer to a specific entity, product, or organization.
-
E.
catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: May 3, 2026, 4:21 p.m.