Triple
T13614197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagot |
E325268
|
entity |
| Predicate | aircraftInfluence |
P106233
|
FINISHED |
| Object | pioneering swept-wing fighter design |
—
|
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: pioneering swept-wing fighter design | Statement: [Fagot, aircraftInfluence, pioneering swept-wing fighter design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftInfluence Context triple: [Fagot, aircraftInfluence, pioneering swept-wing fighter design]
-
A.
aircraftImpact
Indicates that an aircraft collides with or crashes into a target or surface, causing an impact event.
-
B.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
C.
basedOnAircraft
Indicates that one entity is derived from, modeled after, or otherwise uses a particular aircraft as its basis or primary reference.
-
D.
aircraftEnvironment
Indicates a relationship where an aircraft is situated within, interacts with, or is influenced by a particular environmental context or conditions.
-
E.
associatedWithAircraftPerformance
chosen
Indicates a relationship where something is connected or relevant to the performance characteristics or behavior of an aircraft.
- 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_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. |
Created at: April 9, 2026, 9:50 p.m.