Triple

T9173058
Position Surface form Disambiguated ID Type / Status
Subject Public Law 94-409 E220125 entity
Predicate typeOfTransparencyMeasure P24499 FINISHED
Object open meetings requirement — 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: open meetings requirement | Statement: [Public Law 94-409, typeOfTransparencyMeasure, open meetings requirement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfTransparencyMeasure
Context triple: [Public Law 94-409, typeOfTransparencyMeasure, open meetings requirement]
  • A. typeOfMeasure chosen
    Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
  • B. transparencyRole
    Indicates that one entity serves a function or position related to ensuring or embodying transparency in relation to another entity.
  • C. transparency
    Indicates that an entity’s internal processes, information, or decision-making are openly accessible and understandable to others.
  • D. hasTransparencyRequirement
    Indicates that one entity is obligated to provide clear, accessible information or disclosure to another entity or to the public.
  • E. isTransparentTo
    Indicates that one entity allows another entity (such as light, information, or influence) to pass through or be perceived without obstruction or concealment.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbf9fe79c819082f335c2fdd1c7d3 completed April 1, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69cc660761d88190ab6134b43b376964 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:22 p.m.