Triple
T29749733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clairon |
E752860
|
entity |
| Predicate | referredFirearmManufacturer |
P174849
|
FINISHED |
| Object | MAS (Manufacture d’armes de Saint-Étienne) |
—
|
NE NERFINISHED |
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: MAS (Manufacture d’armes de Saint-Étienne) | Statement: [Le Clairon, referredFirearmManufacturer, MAS (Manufacture d’armes de Saint-Étienne)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredFirearmManufacturer Context triple: [Le Clairon, referredFirearmManufacturer, MAS (Manufacture d’armes de Saint-Étienne)]
-
A.
designedForFirearm
Indicates that something is specifically created or intended to be used with a firearm.
-
B.
isServiceRifleOf
Indicates that one entity is the designated service rifle used by another entity, typically a military or armed force.
-
C.
gunProduction
chosen
Indicates the relationship where an entity manufactures, assembles, or otherwise produces guns or firearms.
-
D.
isLargerCaliberCounterpartOf
Indicates that one item is the higher-caliber version or counterpart of another, typically within the same general type or family of objects.
-
E.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 28, 2026, 7:53 p.m.