Triple
T27794963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroon and Gold |
E701181
|
entity |
| Predicate | representsSchoolColorsOf |
P19185
|
FINISHED |
| Object | Arizona State University |
—
|
NE NERFINISHED |
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: Arizona State University | Statement: [Maroon and Gold, representsSchoolColorsOf, Arizona State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsSchoolColorsOf Context triple: [Maroon and Gold, representsSchoolColorsOf, Arizona State University]
-
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.
representsSchoolSpirit
Indicates that an entity embodies, expresses, or symbolizes enthusiasm, pride, or loyalty associated with a particular school or educational institution.
-
C.
schoolRepresented
Indicates that one entity serves as the representative or official delegate of a school in relation to another entity or context.
-
D.
hasSchoolEmblem
Indicates that a school possesses or is represented by a specific emblem or symbol.
-
E.
collegeTeamColor
Indicates that a particular color is one of the official colors associated with a given college sports team.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 5:30 p.m.