Triple
T8209618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American professional sports |
E191779
|
entity |
| Predicate | laborRelationsWith |
P81503
|
FINISHED |
| Object | players associations |
—
|
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: players associations | Statement: [North American professional sports, laborRelationsWith, players associations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborRelationsWith Context triple: [North American professional sports, laborRelationsWith, players associations]
-
A.
laborRelationsIssue
Indicates a relationship where there is a dispute, concern, or matter involving labor relations between workers (or their representatives) and employers.
-
B.
laborUnion
Indicates that an entity is a labor union representing workers in collective employment-related matters.
-
C.
mainLaborLaw
Indicates that the referenced law is the primary or governing labor/employment law applicable to the situation or entities involved.
-
D.
laborSystem
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
E.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dc784881908e1f63ac907cdd01 |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:44 p.m.