Triple
T6137087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA–USC football rivalry |
E136859
|
entity |
| Predicate | colorAssociationUCLA |
P65875
|
FINISHED |
| Object | blue and gold |
—
|
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: blue and gold | Statement: [UCLA–USC football rivalry, colorAssociationUCLA, blue and gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorAssociationUCLA Context triple: [UCLA–USC football rivalry, colorAssociationUCLA, blue and gold]
-
A.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
conferenceColorAssociation
Indicates an association between a conference and a specific color used to represent or identify it.
-
D.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
-
E.
clubColorsMeaning
Indicates the symbolic significance or intended message conveyed by a club’s official colors.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c83aefc8190b0e250e96f2b10b4 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.