Triple
T178860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitol Visitor Center security checkpoints |
E3638
|
entity |
| Predicate | hasRegulation |
P2846
|
FINISHED |
| Object | restrictions on weapons |
—
|
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: restrictions on weapons | Statement: [Capitol Visitor Center security checkpoints, hasRegulation, restrictions on weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegulation Context triple: [Capitol Visitor Center security checkpoints, hasRegulation, restrictions on weapons]
-
A.
regulatesUse
Indicates that one entity controls, governs, or sets rules for how another entity may be used.
-
B.
requiresDomesticLegislation
Indicates that the fulfillment, implementation, or enforcement of one entity depends on the adoption or existence of specific domestic legislation by another entity (typically a state or jurisdiction).
-
C.
regulatoryDomain
Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
-
D.
hasRule
chosen
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
E.
hasDietaryLaw
Indicates that one entity prescribes, follows, or is governed by a specific set of dietary rules or restrictions associated with another entity.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a25900709c8190a65e778936be5dd5 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2566b53d481909c0ed40dd3719e8c |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.