Triple
T29749738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clairon |
E752860
|
entity |
| Predicate | referredFirearmAdoption |
P190673
|
FINISHED |
| Object | standard-issue rifle of French Army for decades |
—
|
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: standard-issue rifle of French Army for decades | Statement: [Le Clairon, referredFirearmAdoption, standard-issue rifle of French Army for decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredFirearmAdoption Context triple: [Le Clairon, referredFirearmAdoption, standard-issue rifle of French Army for decades]
-
A.
gunProduction
Indicates the relationship where an entity manufactures, assembles, or otherwise produces guns or firearms.
-
B.
usesFirearmsUnit
Indicates that one entity employs or operates firearms as part of a specific unit or organizational grouping.
-
C.
designedForFirearm
Indicates that something is specifically created or intended to be used with a firearm.
-
D.
firearmActionType
Indicates the specific type or category of action performed with or by a firearm (such as firing, loading, carrying, or modifying).
-
E.
weaponOfInterest
Indicates that an entity is a weapon that is specifically relevant, notable, or targeted for attention within a given context or scenario.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: April 28, 2026, 7:53 p.m.