Triple
T7237703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clásico Capitalino |
E155271
|
entity |
| Predicate | fanColorAssociation |
P65875
|
FINISHED |
| Object | blue and gold (Pumas UNAM) |
—
|
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: blue and gold (Pumas UNAM) | Statement: [Clásico Capitalino, fanColorAssociation, blue and gold (Pumas UNAM)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanColorAssociation Context triple: [Clásico Capitalino, fanColorAssociation, blue and gold (Pumas UNAM)]
-
A.
familyColor
Indicates that two entities share the same family-associated color or that one entity has a color characteristic of its family group.
-
B.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
sharesColorsWith
Indicates that two entities have one or more colors in common.
-
E.
bandColor
Indicates the color associated with a band, such as a stripe, ring, or marking on an object.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.