Triple
T17606490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savage Arms |
E428844
|
entity |
| Predicate | typeOfFirearmProduced |
P27030
|
FINISHED |
| Object | bolt-action rifle |
—
|
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: bolt-action rifle | Statement: [Savage Arms, typeOfFirearmProduced, bolt-action rifle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFirearmProduced Context triple: [Savage Arms, typeOfFirearmProduced, bolt-action rifle]
-
A.
typeOfWeaponsProduced
chosen
Indicates the specific categories or kinds of weapons that are manufactured or produced by an entity.
-
B.
isServiceRifleOf
Indicates that one entity is the designated service rifle used by another entity, typically a military or armed force.
-
C.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
D.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
E.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.