Triple
T8386983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batallón de Helicópteros de Maniobra III |
E197839
|
entity |
| Predicate | isAviationUnit |
P24170
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Batallón de Helicópteros de Maniobra III, isAviationUnit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAviationUnit Context triple: [Batallón de Helicópteros de Maniobra III, isAviationUnit, true]
-
A.
isAviationElementFor
Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
-
B.
isPartOfAviationSystem
Indicates that something functions as a component or subsystem within a broader aviation system or infrastructure.
-
C.
aerialUnit
chosen
Indicates that the related entity functions as or is classified as an aerial unit, typically operating or acting in the air rather than on the ground or sea.
-
D.
servesAviationType
Indicates that one entity provides services or functions specifically for a particular type or category of aviation.
-
E.
isAirworthy
Indicates that an aircraft or flying object meets the necessary safety and operational standards to be considered fit for flight.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81076eac8190893813628cacc1aa |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:03 p.m.