Triple
T29139335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warthog |
E738583
|
entity |
| Predicate | weaponVariant |
P28675
|
FINISHED |
| Object | M41 LAAG machine gun |
—
|
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: M41 LAAG machine gun | Statement: [Warthog, weaponVariant, M41 LAAG machine gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponVariant Context triple: [Warthog, weaponVariant, M41 LAAG machine gun]
-
A.
armedVariants
chosen
Indicates that one entity is a version or model of another that is equipped with weapons or enhanced armaments.
-
B.
weaponFeature
Indicates that one entity is a characteristic, attribute, or functional aspect of a weapon.
-
C.
weaponDesigner
Indicates that one entity is the creator or designer of a weapon used or associated with another entity.
-
D.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
-
E.
weaponMount
Indicates that one entity serves as a mounting point or support structure for attaching or holding a weapon on another entity.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6626dee588190ae10942e2a9bff64 |
completed | May 2, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:35 a.m.