Triple
T8131846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KeyMod |
E189869
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | M-LOK |
E189868
|
NE 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: M-LOK | Statement: [KeyMod, competesWith, M-LOK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-LOK Context triple: [KeyMod, competesWith, M-LOK]
-
A.
M-LOK
chosen
M-LOK is a modular firearm accessory mounting system that uses slotted interfaces to securely attach rails and accessories directly to a weapon’s handguard.
-
B.
Picatinny rail (on upgraded models)
The Picatinny rail is a standardized mounting platform used on firearms to attach accessories such as optics, lights, and lasers.
-
C.
MOLLE
MOLLE is a military load-bearing equipment system that uses a webbing-based modular design to attach and customize pouches and gear on vests, packs, and belts.
-
D.
Colt Defense
Colt Defense is an American firearms manufacturer best known for producing military and law-enforcement rifles and carbines, including the M4 family of weapons.
-
E.
Sights and Silencers
Sights and Silencers is a song featured on the album "Funeral."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b96cd481908c0679050c35d83f |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9482113881909439c9e43fbc933f |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 5:34 p.m.