Triple
T31394938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke vs. North Carolina games |
E800839
|
entity |
| Predicate | colorAssociationDuke |
P141673
|
FINISHED |
| Object | Duke blue |
—
|
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: Duke blue | Statement: [Duke vs. North Carolina games, colorAssociationDuke, Duke blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorAssociationDuke Context triple: [Duke vs. North Carolina games, colorAssociationDuke, Duke blue]
-
A.
colorAssociatedInstitution
Indicates that a particular color is characteristically linked or symbolically connected to an institution.
-
B.
colorWhenHeldByUSC
Indicates the color an entity appears or is designated as when it is held, possessed, or controlled by USC.
-
C.
collegeTeamColor
chosen
Indicates that a particular color is one of the official colors associated with a given college sports team.
-
D.
mascotColor
Indicates the color associated with a particular mascot.
-
E.
clubColoursReflected
Indicates that the club’s official colours are visibly represented or mirrored in the referenced object or 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 29, 2026, 9:19 p.m.