Triple

T23500
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts General Court E466 entity
Predicate typeOfLegislature P239 FINISHED
Object professional legislature 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: professional legislature | Statement: [Massachusetts General Court, typeOfLegislature, professional legislature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLegislature
Context triple: [Massachusetts General Court, typeOfLegislature, professional legislature]
  • A. legislature chosen
    Indicates that an entity serves as, or is part of, a law-making body or assembly responsible for creating or amending laws for a political unit.
  • B. hasBicameralStructure
    Indicates that an entity possesses a two-chamber (two-house) internal organizational or legislative structure.
  • C. lowerHouse
    Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
  • D. upperHouse
    Indicates that one entity functions as the higher or upper legislative chamber in relation to a given political or governmental system.
  • E. legislativeSession
    Indicates that an entity is a formal meeting period of a legislative body during which it conducts its official business, such as debating and passing laws.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246e94ca881908f7a7d2c0b293033 completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a246560af88190961ea00b35cf9388 completed Feb. 28, 2026, 1:35 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.