Triple
T12173371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara Broncos women's soccer |
E290028
|
entity |
| Predicate | collegeCupAppearance |
P103147
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Santa Clara Broncos women's soccer, collegeCupAppearance, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeCupAppearance Context triple: [Santa Clara Broncos women's soccer, collegeCupAppearance, 1989]
-
A.
conferencePlayedInCollege
Indicates that a person participated in collegiate athletics within a specific athletic conference.
-
B.
collegeChampionshipYear
Indicates the specific year in which a college team or individual won a championship title.
-
C.
collegeChampionWith
Indicates that one entity is the champion of a college-level competition or title in association with another specified entity.
-
D.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
E.
playedCollegeYears
Indicates the span of years during which an entity participated in college-level play (e.g., as a student-athlete).
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916165c708190bf0745e125589f46 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.