Triple
T28308935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colt Canada |
E713943
|
entity |
| Predicate | commonCaliber |
P185199
|
FINISHED |
| Object | 5.56×45mm NATO |
—
|
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: 5.56×45mm NATO | Statement: [Colt Canada, commonCaliber, 5.56×45mm NATO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonCaliber Context triple: [Colt Canada, commonCaliber, 5.56×45mm NATO]
-
A.
commonLevel
Indicates that two or more entities share the same level, rank, or hierarchical position within a given system or structure.
-
B.
commonOn
Indicates that two or more entities share the same location, context, or medium where they are present or occur together.
-
C.
commonIn
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
D.
commonCut
Indicates that two or more entities share at least one identical segment or portion that has been cut or divided in the same way.
-
E.
commonConcentration
Indicates that multiple entities share the same concentration level of a specified substance or component.
- F. None of above. chosen
Provenance (4 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 27, 2026, 11:39 p.m.