Triple
T21718564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gearing-class destroyer |
E536093
|
entity |
| Predicate | originalAntiAircraftArmament |
P118958
|
FINISHED |
| Object | Bofors 40 mm 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: Bofors 40 mm guns | Statement: [Gearing-class destroyer, originalAntiAircraftArmament, Bofors 40 mm guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAntiAircraftArmament Context triple: [Gearing-class destroyer, originalAntiAircraftArmament, Bofors 40 mm guns]
-
A.
aircraftDefensiveArmament
Indicates that an aircraft is equipped with weapons or systems specifically intended for its own defense against attacks.
-
B.
airDefenseArmament
chosen
Indicates the weapons or systems specifically equipped on an entity for defending against aerial threats such as aircraft or missiles.
-
C.
referredAircraftArmament
Indicates that one aircraft’s armament is being referenced or pointed to in relation to another entity or context.
-
D.
airDefenseSystemComponent
Indicates that one entity is a component or subsystem of an air defense system associated with another entity.
-
E.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96cc58081908dda09819041b888 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.