Triple
T38145461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golf le Fleur* |
E952594
|
entity |
| Predicate | hasAlternateRepresentation |
P57346
|
FINISHED |
| Object | GOLF le FLEUR* |
—
|
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 le FLEUR* | Statement: [Golf le Fleur*, hasAlternateRepresentation, GOLF le FLEUR*]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateRepresentation Context triple: [Golf le Fleur*, hasAlternateRepresentation, GOLF le FLEUR*]
-
A.
hasAlternativeReferent
Indicates that an entity can also be referred to or identified by an alternative name, label, or reference.
-
B.
hasAlternativeNotation
chosen
Indicates that an entity can be represented or written in a different, equivalent form or notation.
-
C.
hasAlternativeView
Indicates that one entity presents a different or contrasting perspective, interpretation, or representation relative to another entity.
-
D.
hasAlternativeBasis
Indicates that something is supported, justified, or founded on a different underlying reason, source, or principle than the primary or original one.
-
E.
hasAlternateMemberType
Indicates that an entity is associated with a different or substitute type of member than its primary or standard member type.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 3, 2026, 4:21 p.m.