Triple
T5931038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Clásico |
E131936
|
entity |
| Predicate | hasKeyColorAssociation |
P18249
|
FINISHED |
| Object | white (Real Madrid) |
—
|
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 (Real Madrid) | Statement: [El Clásico, hasKeyColorAssociation, white (Real Madrid)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyColorAssociation Context triple: [El Clásico, hasKeyColorAssociation, white (Real Madrid)]
-
A.
hasColorSymbol
chosen
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
B.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
-
C.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
D.
hasColorReference
Indicates that one entity serves as a reference or source for determining or specifying the color associated with another entity.
-
E.
hasComplementaryColor
Indicates that one color is the complementary (i.e., opposite on the color wheel, providing maximum contrast) counterpart of another 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.