Triple
T33733146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorobrettes |
E864331
|
entity |
| Predicate | usesAsUniversityColors |
P19185
|
FINISHED |
| Object | green 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: green and gold | Statement: [Thorobrettes, usesAsUniversityColors, green and gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAsUniversityColors Context triple: [Thorobrettes, usesAsUniversityColors, green and gold]
-
A.
hasSchoolColours
chosen
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
-
B.
collegeTeamColor
Indicates that a particular color is one of the official colors associated with a given college sports team.
-
C.
mascotColor
Indicates the color associated with a particular mascot.
-
D.
colorWhenHeldByUSC
Indicates the color an entity appears or is designated as when it is held, possessed, or controlled by USC.
-
E.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: May 1, 2026, 1:44 a.m.