Triple

T1538836
Position Surface form Disambiguated ID Type / Status
Subject Assembly Clause E32817 entity
Predicate allowsRegulationOf P29625 FINISHED
Object time, place, and manner of assemblies 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: time, place, and manner of assemblies | Statement: [Assembly Clause, allowsRegulationOf, time, place, and manner of assemblies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsRegulationOf
Context triple: [Assembly Clause, allowsRegulationOf, time, place, and manner of assemblies]
  • A. supportsRegulation
    Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
  • B. regulatesUse
    Indicates that one entity controls, governs, or sets rules for how another entity may be used.
  • C. regulatesWith
    Indicates that one entity controls, modulates, or influences the activity, state, or behavior of another entity through some regulatory mechanism or interaction.
  • D. allows
    Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
  • E. worksOnRegulationType
    Indicates that an entity is involved in work or activities related to a specific type or category of regulation.
  • F. None of above. chosen

Provenance (4 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
PDg Predicate description generation batch_69a915f1694081908f87b509eda1309f completed March 5, 2026, 5:34 a.m.
Created at: March 4, 2026, 7:26 p.m.