Triple
T38304981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intratec TEC-9 |
E1032320
|
entity |
| Predicate | bannedInJurisdiction |
P185813
|
FINISHED |
| Object | California (as an assault weapon model) |
—
|
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: California (as an assault weapon model) | Statement: [Intratec TEC-9, bannedInJurisdiction, California (as an assault weapon model)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannedInJurisdiction Context triple: [Intratec TEC-9, bannedInJurisdiction, California (as an assault weapon model)]
-
A.
bannedInCountry
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
B.
jurisdictionOfBan
chosen
Indicates the legal authority or geographic scope within which a particular ban is in force and can be enforced.
-
C.
bannedInContextOf
Indicates that something is prohibited or not allowed specifically within a particular situation, setting, or scope.
-
D.
bannedOrOutlawed
Indicates that something is officially prohibited or declared illegal by an authority.
-
E.
existsInJurisdiction
Indicates that an entity is located within, falls under, or is subject to the authority of a particular legal or administrative jurisdiction.
- 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.