Triple
T1416145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulton Paul Defiant |
E31921
|
entity |
| Predicate | turretArmament |
P9005
|
FINISHED |
| Object | four 0.303 in Browning machine guns |
—
|
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: four 0.303 in Browning machine guns | Statement: [Boulton Paul Defiant, turretArmament, four 0.303 in Browning machine guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turretArmament Context triple: [Boulton Paul Defiant, turretArmament, four 0.303 in Browning machine guns]
-
A.
turret
chosen
Indicates that an entity is equipped with or associated with a turret, typically a rotating weapon or defense mechanism.
-
B.
turretCrew
Indicates that an entity serves as a crew member operating or manning a turret associated with another entity.
-
C.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
D.
secondaryArmament
Indicates that one entity serves as a secondary or auxiliary weapon system associated with another primary platform or armament.
-
E.
turretBasedOn
Indicates that one turret is derived from, modeled after, or constructed using the design or components of another turret.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c402b1648190b87802d9beb2712e |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.