Triple
T36739837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M&P series firearms |
E907577
|
entity |
| Predicate | hasSafetyOption |
P63490
|
FINISHED |
| Object | models with manual thumb safety |
—
|
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: models with manual thumb safety | Statement: [M&P series firearms, hasSafetyOption, models with manual thumb safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyOption Context triple: [M&P series firearms, hasSafetyOption, models with manual thumb safety]
-
A.
hasSafetyCharacteristic
chosen
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
B.
hasSafetyConfiguration
Indicates that an entity is associated with or assigned a particular safety-related setup, parameters, or protective settings.
-
C.
hasSafetyInformation
Indicates that one entity provides or is associated with safety-related details, warnings, or guidelines about another entity.
-
D.
hasSecurityFunction
Indicates that an entity performs, provides, or is responsible for a security-related role, protection mechanism, or safeguarding function for another entity or system.
-
E.
securityFeaturesInclude
Indicates that a system, product, or environment possesses or is equipped with specific security features as part of its protective measures.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:12 p.m.