Triple
T37370991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maremont Corporation |
E927841
|
entity |
| Predicate | weaponProduced |
P27030
|
FINISHED |
| Object | M60E1 machine gun variant |
—
|
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: M60E1 machine gun variant | Statement: [Maremont Corporation, weaponProduced, M60E1 machine gun variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponProduced Context triple: [Maremont Corporation, weaponProduced, M60E1 machine gun variant]
-
A.
typeOfWeaponsProduced
chosen
Indicates the specific categories or kinds of weapons that are manufactured or produced by an entity.
-
B.
weaponForgedFor
Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
-
C.
weaponForged
Indicates that one entity has been created or shaped as a weapon by another entity through a forging process.
-
D.
weaponUsedIn
Indicates that a particular weapon is employed or involved in carrying out a specific event or action.
-
E.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.