Triple
T15519070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dassault Ouragan jet fighter program |
E368905
|
entity |
| Predicate | aircraftPrimaryArmament |
P6066
|
FINISHED |
| Object | cannon armament in nose |
—
|
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: cannon armament in nose | Statement: [Dassault Ouragan jet fighter program, aircraftPrimaryArmament, cannon armament in nose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftPrimaryArmament Context triple: [Dassault Ouragan jet fighter program, aircraftPrimaryArmament, cannon armament in nose]
-
A.
aircraftDefensiveArmament
Indicates that an aircraft is equipped with weapons or systems specifically intended for its own defense against attacks.
-
B.
referredAircraftArmament
Indicates that one aircraft’s armament is being referenced or pointed to in relation to another entity or context.
-
C.
primaryArmament
chosen
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
D.
primaryArmamentLayout
Indicates how the main weapons or primary armament of an entity are arranged or distributed relative to that entity.
-
E.
gunDeckArmament
Indicates the type or configuration of weapons mounted on a ship’s gun deck.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e040343d9c8190a7d1f197c108bd9d |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.