Triple
T7102406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 69th Air Defense Artillery Brigade |
E165488
|
entity |
| Predicate | typeOfThreatCountered |
P19863
|
FINISHED |
| Object | aircraft |
—
|
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: aircraft | Statement: [69th Air Defense Artillery Brigade, typeOfThreatCountered, aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfThreatCountered Context triple: [69th Air Defense Artillery Brigade, typeOfThreatCountered, aircraft]
-
A.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
B.
primaryAdversaryCapabilityCountered
Indicates that a primary adversary capability is neutralized, mitigated, or otherwise rendered ineffective by a specified countermeasure or action.
-
C.
hasThreats
Indicates that one entity poses or is associated with potential danger, harm, or adverse consequences toward another entity.
-
D.
recognizesThreat
Indicates that an entity identifies or acknowledges another entity or situation as a potential danger or source of harm.
-
E.
threatTypeAddressed
chosen
Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.