Triple
T13170952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .30 cal Browning M1919A4 machine guns |
E312971
|
entity |
| Predicate | convertedTo |
P631
|
FINISHED |
| Object | 7.62×51mm NATO in some postwar conversions |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: 7.62×51mm NATO in some postwar conversions | Statement: [.30 cal Browning M1919A4 machine guns, convertedTo, 7.62×51mm NATO in some postwar conversions]
Provenance (2 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2f22b881908a0af3af0a0af971 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 9, 2026, 9:13 p.m.