Triple
T28309192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .223 Remington |
E713949
|
entity |
| Predicate | primerType |
P109032
|
FINISHED |
| Object | small rifle primer |
—
|
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: small rifle primer | Statement: [.223 Remington, primerType, small rifle primer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primerType Context triple: [.223 Remington, primerType, small rifle primer]
-
A.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
B.
PRIMOSType
Indicates that an entity is classified according to a specific PRIMOS system type or category.
-
C.
hasPrimerType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of primer.
-
D.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
E.
primaryStructure
Indicates that one entity serves as the main or principal structural component or framework 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644e0e9e48190818f7bf2204ec741 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:39 p.m.