Triple
T23840450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | constitutional sheriffs movement |
E590971
|
entity |
| Predicate | positionOnGunControl |
P104433
|
FINISHED |
| Object | opposes most federal gun regulations |
—
|
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: opposes most federal gun regulations | Statement: [constitutional sheriffs movement, positionOnGunControl, opposes most federal gun regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnGunControl Context triple: [constitutional sheriffs movement, positionOnGunControl, opposes most federal gun regulations]
-
A.
positionOnWeapons
chosen
Indicates a stance, policy, or viewpoint that an entity holds regarding weapons or weapon-related issues.
-
B.
weaponControl
Indicates that one entity has authority over, access to, or the ability to direct the use of a weapon associated with another entity.
-
C.
positionOnSecurity
Indicates the stance, opinion, or policy an entity holds regarding security-related issues or measures.
-
D.
hasShootingPosition
Indicates that an entity has a designated location or spot from which shooting (e.g., firing a weapon or taking a shot) is performed.
-
E.
doorGunPositions
Indicates the positions where door-mounted guns are located or can be placed.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88797d4819081831fd3f8822ef4 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:08 p.m.