Triple
T17562379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas Republican Party |
E427722
|
entity |
| Predicate | positionOnGunPolicy |
P104433
|
FINISHED |
| Object | supports gun rights |
—
|
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: supports gun rights | Statement: [Arkansas Republican Party, positionOnGunPolicy, supports gun rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnGunPolicy Context triple: [Arkansas Republican Party, positionOnGunPolicy, supports gun rights]
-
A.
positionOnWeapons
chosen
Indicates a stance, policy, or viewpoint that an entity holds regarding weapons or weapon-related issues.
-
B.
positionOnSecurity
Indicates the stance, opinion, or policy an entity holds regarding security-related issues or measures.
-
C.
positionOnRights
Indicates a stance, opinion, or policy an entity holds regarding rights (such as legal, human, or civil rights).
-
D.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456274c888190ac80402e391674dd |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.