Triple
T12274295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clásico Colo-Colo–Universidad Católica |
E292550
|
entity |
| Predicate | associatedColorOfUniversidadCatólica |
P65875
|
FINISHED |
| Object | white and 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: white and blue | Statement: [Clásico Colo-Colo–Universidad Católica, associatedColorOfUniversidadCatólica, white and blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColorOfUniversidadCatólica Context triple: [Clásico Colo-Colo–Universidad Católica, associatedColorOfUniversidadCatólica, white and blue]
-
A.
colorAssociatedInstitution
Indicates that a particular color is characteristically linked or symbolically connected to an institution.
-
B.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
isAmongMostPrestigiousUniversitiesInLatinAmerica
Indicates that a university ranks within the top tier of the most highly regarded and esteemed universities in Latin America.
-
D.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
E.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.