Triple
T7176459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Eagles |
E167331
|
entity |
| Predicate | associatedWithColorsMeaning |
P32189
|
FINISHED |
| Object | black-and-white identity of Beşiktaş JK |
—
|
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: black-and-white identity of Beşiktaş JK | Statement: [Black Eagles, associatedWithColorsMeaning, black-and-white identity of Beşiktaş JK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithColorsMeaning Context triple: [Black Eagles, associatedWithColorsMeaning, black-and-white identity of Beşiktaş JK]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
colorHasMeaning
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
C.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
clubColorsMeaning
chosen
Indicates the symbolic significance or intended message conveyed by a club’s official colors.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.