Triple
T34331345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7.92 mm Besa machine gun |
E881014
|
entity |
| Predicate | standardCoaxialGunOf |
P122527
|
FINISHED |
| Object | British tanks in World War II |
—
|
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: British tanks in World War II | Statement: [7.92 mm Besa machine gun, standardCoaxialGunOf, British tanks in World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardCoaxialGunOf Context triple: [7.92 mm Besa machine gun, standardCoaxialGunOf, British tanks in World War II]
-
A.
mainGunModel
Indicates the specific model or type designation of the primary gun or main weapon system used by an entity.
-
B.
standardChambering
Indicates that an entity uses a conventional or commonly accepted method of arranging or configuring its internal chambers or compartments.
-
C.
standardIssueMachineGun
chosen
Indicates that an entity is equipped with or uses the standard-issue machine gun designated for its organization, faction, or context.
-
D.
beamLine
Indicates a relationship where one entity directs or projects a beam or focused line (such as light, energy, or signal) toward another entity.
-
E.
beamParticle
Indicates that one entity directs or projects another entity as a beam-like stream or focused flow.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:58 a.m.