Triple
T13614189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagot |
E325268
|
entity |
| Predicate | aircraftSecondaryMission |
P110429
|
FINISHED |
| Object | interception |
—
|
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: interception | Statement: [Fagot, aircraftSecondaryMission, interception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftSecondaryMission Context triple: [Fagot, aircraftSecondaryMission, interception]
-
A.
laterPrimaryMission
Indicates that one mission occurs after another mission in the sequence of primary missions.
-
B.
aircraftRoleSpecialization
Indicates that one aircraft role is a more specific, specialized form of another, more general aircraft role.
-
C.
primaryAircraftRole
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
-
D.
carriedAircraftRole
Indicates the functional role or mission type that an aircraft serves when it is carried by another platform (such as a ship or larger aircraft).
-
E.
notableAircraftRole
Indicates that an aircraft is notably associated with performing a particular role or function.
- F. None of above. chosen
Provenance (4 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:50 p.m.