Triple
T5297990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Police of the Republic of Vietnam |
E119901
|
entity |
| Predicate | usedUniforms |
P2930
|
FINISHED |
| Object | military-style uniforms |
—
|
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: military-style uniforms | Statement: [National Police of the Republic of Vietnam, usedUniforms, military-style uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedUniforms Context triple: [National Police of the Republic of Vietnam, usedUniforms, military-style uniforms]
-
A.
usesUniform
chosen
Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
-
B.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
C.
usedUniformlyAcrossCountry
Indicates that something is applied or practiced in the same way throughout the entire country without regional variation.
-
D.
uniformizedBy
Indicates that one entity has been made uniform, standardized, or brought into a consistent form or structure by another entity.
-
E.
isNonUniform
Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.