Triple

T2432727
Position Surface form Disambiguated ID Type / Status
Subject Lagting E52882 entity
Predicate roleInLegislature P4024 FINISHED
Object review chamber for legislation 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: review chamber for legislation | Statement: [Lagting, roleInLegislature, review chamber for legislation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInLegislature
Context triple: [Lagting, roleInLegislature, review chamber for legislation]
  • A. roleInCongress
    Indicates the specific position or function an individual holds within a legislative congress.
  • B. legislativeRole chosen
    Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
  • C. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • D. isPoliticalOffice
    Indicates that the subject is a formal governmental or political position held within a public institution or authority.
  • E. representedInCongressBy
    Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcc74a5108190a3a9631b0cc1a127 completed March 7, 2026, 6:57 a.m.
PD Predicate disambiguation batch_69abc5aa1b60819081b87f7985c6cff3 completed March 7, 2026, 6:28 a.m.
Created at: March 6, 2026, 9:43 p.m.