Triple
T34531922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemson Tigers |
E886560
|
entity |
| Predicate | womenBasketballTeam |
P13104
|
FINISHED |
| Object | Clemson Tigers women’s basketball |
—
|
NE NERFINISHED |
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: Clemson Tigers women’s basketball | Statement: [Clemson Tigers, womenBasketballTeam, Clemson Tigers women’s basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenBasketballTeam Context triple: [Clemson Tigers, womenBasketballTeam, Clemson Tigers women’s basketball]
-
A.
womenTeam
chosen
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
WNBAteam
Indicates that the subject is a team that competes in the Women’s National Basketball Association (WNBA).
-
C.
featuresWomenTeams
Indicates that the subject includes, presents, or involves teams composed of women.
-
D.
womenTeamSilver
Indicates that a women’s team achieved second place and was awarded the silver medal in a competition or event.
-
E.
womenTeamOrigin
Indicates that a women’s team originates from, is based in, or is otherwise associated with a particular place or organization.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fe7d2948190b129fa36963a9b82 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.