Triple
T26279455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | single-bullet theory |
E660663
|
entity |
| Predicate | bulletCaliber |
P6076
|
FINISHED |
| Object | 6.5 mm |
—
|
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: 6.5 mm | Statement: [single-bullet theory, bulletCaliber, 6.5 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bulletCaliber Context triple: [single-bullet theory, bulletCaliber, 6.5 mm]
-
A.
gunCalibre
chosen
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
B.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
C.
natoCaliberClass
Indicates that two ammunition types share the same standardized NATO caliber classification.
-
D.
standardCaliberOfCountry
Indicates that a particular caliber is officially recognized or commonly used as the standard caliber within a given country.
-
E.
bulletDesignation
Indicates that one entity is designated or labeled as a specific bullet point or bullet-style marker in relation to another entity.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e734a088190ae453cc5dd222b40 |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 9:59 p.m.