Triple
T27061629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Police (Iraq) |
E685058
|
entity |
| Predicate | usesUniformColor |
P157743
|
FINISHED |
| Object | dark 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: dark blue | Statement: [Federal Police (Iraq), usesUniformColor, dark blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesUniformColor Context triple: [Federal Police (Iraq), usesUniformColor, dark blue]
-
A.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
B.
usesUniform
Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
-
C.
uniformColorFeature
Indicates that the related entities share or exhibit the same uniform color characteristic.
-
D.
isUniform
Indicates that all elements or parts within a given set, structure, or context share the same characteristics or value.
-
E.
colorUse
chosen
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622e500288190a5bbfca6e65c30b2 |
completed | May 2, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:22 a.m.