Triple
T1848924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HK416F |
E41347
|
entity |
| Predicate | adoptionRole |
P34134
|
FINISHED |
| Object | standard service rifle of the French armed forces |
—
|
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 service rifle of the French armed forces | Statement: [HK416F, adoptionRole, standard service rifle of the French armed forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptionRole Context triple: [HK416F, adoptionRole, standard service rifle of the French armed forces]
-
A.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
-
B.
adoptedUnder
Indicates that something has been formally accepted, implemented, or brought into effect according to a specified rule, procedure, or authority.
-
C.
adoptedWith
Indicates that two or more entities were adopted at the same time or as part of the same adoption event or process.
-
D.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
E.
adoptedThrough
Indicates that an adoption relationship was established or carried out by means of a specified process, channel, or intermediary.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.