Triple
T33095344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flagon |
E846892
|
entity |
| Predicate | subjectAircraftGeopoliticalContext |
P82592
|
FINISHED |
| Object | NATO–Warsaw Pact confrontation |
—
|
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–Warsaw Pact confrontation | Statement: [Flagon, subjectAircraftGeopoliticalContext, NATO–Warsaw Pact confrontation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftGeopoliticalContext Context triple: [Flagon, subjectAircraftGeopoliticalContext, NATO–Warsaw Pact confrontation]
-
A.
isAviationElementOf
Indicates that something functions as a component or constituent part within a broader aviation-related system, structure, or context.
-
B.
targetedAircraft
Indicates that one entity has selected or designated an aircraft as the object of an attack, tracking, or other directed action.
-
C.
basedOnAircraft
Indicates that one entity is derived from, modeled after, or otherwise uses a particular aircraft as its basis or primary reference.
-
D.
isMilitaryAircraft
Indicates that the subject aircraft is designed, used, or designated for military purposes rather than civilian use.
-
E.
geopoliticalFactor
chosen
Indicates a relationship where one entity influences or shapes another through political, territorial, or international power dynamics and conditions.
- 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_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:26 a.m.