Triple
T3063759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Golden Bears women’s soccer |
E62055
|
entity |
| Predicate | producedProfessionalPlayers |
P27786
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [California Golden Bears women’s soccer, producedProfessionalPlayers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedProfessionalPlayers Context triple: [California Golden Bears women’s soccer, producedProfessionalPlayers, yes]
-
A.
introducedProfessionalPlayers
Indicates that one entity caused or facilitated the first professional appearance or involvement of certain players in a professional context.
-
B.
hasProfessionalPlayers
chosen
Indicates that an entity is associated with or includes individuals who participate in a profession at a professional level.
-
C.
producedLeaguePlayers
Indicates that an entity has developed or given rise to players who went on to participate in a specified league.
-
D.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
-
E.
producedNFLPlayers
Indicates that one entity has been the origin, source, or training ground for individuals who later became NFL players.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea2154c8190ab243feb77170a15 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.