Triple
T10864234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida–Georgia football game |
E256485
|
entity |
| Predicate | associatedColor2 |
P65875
|
FINISHED |
| Object | red and black |
—
|
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 and black | Statement: [Florida–Georgia football game, associatedColor2, red and black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColor2 Context triple: [Florida–Georgia football game, associatedColor2, red and black]
-
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.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
suitColor
Indicates that one entity has or is associated with a particular color of suit.
-
E.
secondaryColour
Indicates that one entity serves as a secondary or accent color in relation to another entity’s primary color.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516b2f148190adbacd35fc8c2056 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.