Triple
T14033156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academia da Força Aérea |
E337641
|
entity |
| Predicate | cadetsWear |
P18730
|
FINISHED |
| Object | military 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 uniforms | Statement: [Academia da Força Aérea, cadetsWear, military uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cadetsWear Context triple: [Academia da Força Aérea, cadetsWear, military uniforms]
-
A.
wearsInsigniaAt
Indicates that an entity is wearing or displaying a particular insignia at a specified location or point in time.
-
B.
hasCadetRank
Indicates that an entity holds or is assigned a cadet-level rank within a hierarchical or military-style ranking system.
-
C.
typeOfCadetForce
Indicates the specific category or kind of cadet force to which an entity belongs.
-
D.
hasCadetType
Indicates that an entity is associated with or classified under a specific type or category of cadet.
-
E.
wearsOnUniform
chosen
Indicates that an item is part of and is worn as a component of a 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.