Triple
T34531924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemson Tigers |
E886560
|
entity |
| Predicate | soccerTeam |
P121122
|
FINISHED |
| Object | Clemson Tigers men’s soccer |
—
|
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 men’s soccer | Statement: [Clemson Tigers, soccerTeam, Clemson Tigers men’s soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soccerTeam Context triple: [Clemson Tigers, soccerTeam, Clemson Tigers men’s soccer]
-
A.
associationFootballTeamOf
chosen
Indicates that one entity is the association football (soccer) team to which the other entity belongs or is affiliated.
-
B.
leagueTeam
Indicates that a team is a member or participant of a particular league.
-
C.
fieldsTeam
Indicates that an entity is a member of, or associated as part of, a particular team.
-
D.
hostsFootballClub
Indicates that one entity serves as the home location or venue where a football club is based or plays its matches.
-
E.
team1
Indicates that the referenced entity is the first team or side participating in a competitive or relational context.
- 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.