Triple
T33095345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flagon |
E846892
|
entity |
| Predicate | subjectAircraftOppositionContext |
P110428
|
FINISHED |
| Object | NATO strategic bombers |
—
|
NE NERFINISHED |
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: NATO strategic bombers | Statement: [Flagon, subjectAircraftOppositionContext, NATO strategic bombers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftOppositionContext Context triple: [Flagon, subjectAircraftOppositionContext, NATO strategic bombers]
-
A.
opponentAircraft
Indicates that one aircraft is an adversary or opposing aircraft relative to another in a conflict or competitive context.
-
B.
opposedAircraftInServiceWith
chosen
Indicates that one aircraft was in active service with a party that was in opposition to the party operating the other aircraft.
-
C.
referredAircraftConflict
Indicates that there is a potential or actual conflict involving an aircraft that has been referenced or designated in the current context.
-
D.
competingAircraft
Indicates that two aircraft are in competition with each other, typically for the same objective, market, or operational advantage.
-
E.
targetedAircraft
Indicates that one entity has selected or designated an aircraft as the object of an attack, tracking, or other directed action.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 1, 2026, 1:26 a.m.