Triple
T26204462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT&T Pebble Beach Pro-Am |
E655322
|
entity |
| Predicate | hasComponentCompetition |
P26034
|
FINISHED |
| Object | professional individual competition |
—
|
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: professional individual competition | Statement: [AT&T Pebble Beach Pro-Am, hasComponentCompetition, professional individual competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentCompetition Context triple: [AT&T Pebble Beach Pro-Am, hasComponentCompetition, professional individual competition]
-
A.
competesWith
Indicates that two entities are in rivalry or opposition, each striving to outperform or gain advantage over the other in the same domain or objective.
-
B.
hasCompetitionElement
chosen
Indicates that one entity includes, involves, or is associated with a specific competitive component, aspect, or feature.
-
C.
tieneCompetencia
Indicates that one entity has or faces competition from another entity.
-
D.
hasCompetitionScope
Indicates the extent or boundaries within which a competition, contest, or competitive activity is defined or applies.
-
E.
tieneCompetenciaEn
Indicates that an entity possesses skill, expertise, or competence in a specific area, field, or activity.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 26, 2026, 8:50 p.m.