Triple
T27673248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colt Defense |
E697713
|
entity |
| Predicate | weaponFamily |
P162933
|
FINISHED |
| Object | M4 family of weapons |
—
|
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: M4 family of weapons | Statement: [Colt Defense, weaponFamily, M4 family of weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponFamily Context triple: [Colt Defense, weaponFamily, M4 family of weapons]
-
A.
weaponCategory
Indicates the classification or type of weapon to which an item or armament belongs.
-
B.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
-
C.
typicalWeapon
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
D.
weaponSystemType
Indicates the specific category or kind of weapon system associated with an entity.
-
E.
weaponsRepresent
Indicates that certain weapons serve as symbols or embodiments of something, such as ideas, groups, or values.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63531e6c88190b586d5139a20e6e7 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f6305219f08190b55f6193a4a49984 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 27, 2026, 2:42 p.m.