Triple
T38080134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia vs. Florida football rivalry (when played in Athens) |
E950828
|
entity |
| Predicate | primaryColorTeam1 |
P31259
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Georgia vs. Florida football rivalry (when played in Athens), primaryColorTeam1, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryColorTeam1 Context triple: [Georgia vs. Florida football rivalry (when played in Athens), primaryColorTeam1, red]
-
A.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
B.
primaryClubColors
Indicates the main official colors associated with a club, typically used for its primary identity and uniforms.
-
C.
primaryTeam
Indicates that one entity is the main or principal team associated with another entity, such as a person, project, or organization.
-
D.
mainColorOfAnotherClub
Indicates that one club’s primary color is the same as, or serves as, the main identifying color for another club.
-
E.
homeTeamColors
chosen
Indicates the colors associated with the home team in a sporting event or competition.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.