Triple
T31506320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadre Noir |
E803824
|
entity |
| Predicate | hasColorInNameMeaning |
P46606
|
FINISHED |
| Object | black uniforms of instructors |
—
|
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 uniforms of instructors | Statement: [Cadre Noir, hasColorInNameMeaning, black uniforms of instructors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorInNameMeaning Context triple: [Cadre Noir, hasColorInNameMeaning, black uniforms of instructors]
-
A.
colorHasMeaning
chosen
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
B.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
C.
hasColorEpithet
Indicates that an entity is associated with a descriptive color term used as an epithet or qualifier.
-
D.
hasGivenNameMeaning
Indicates that a given name carries a particular meaning or semantic interpretation.
-
E.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0248062e608190aae1afdae38d2e5a |
completed | May 11, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_6a02465a0d38819084c3a6813fb943fc |
completed | May 11, 2026, 9:12 p.m. |
Created at: April 30, 2026, 9:47 p.m.