Triple
T4332735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Golden Bears men’s swimming and diving |
E97390
|
entity |
| Predicate | hasOlympians |
P55619
|
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 men’s swimming and diving, hasOlympians, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOlympians Context triple: [California Golden Bears men’s swimming and diving, hasOlympians, yes]
-
A.
hasOlympicCountry
Indicates that an entity is associated with or represents a specific country in the context of the Olympic Games.
-
B.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
-
C.
hasOlympicFunction
Indicates that an entity serves a specific role, duty, or function within the context of the Olympic Games or Olympic movement.
-
D.
OlympicGamesParticipated
Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
-
E.
hasOlympicLegacy
Indicates that something has a lasting impact, influence, or heritage resulting from its association with the Olympic Games.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514faaac819081475681fd10da24 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:13 p.m.