Triple

T38695835
Position Surface form Disambiguated ID Type / Status
Subject New Mexico Legislature E949993 entity
Predicate legislativeSessions P776 FINISHED
Object regular sessions 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: regular sessions | Statement: [New Mexico Legislature, legislativeSessions, regular sessions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislativeSessions
Context triple: [New Mexico Legislature, legislativeSessions, regular sessions]
  • A. legislativeSession chosen
    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.
  • B. hasLegislativeSessionCount
    Indicates the number of legislative sessions associated with a given legislative body, term, or jurisdiction.
  • C. legislativeActivity
    Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
  • D. usesLegislativeSessionName
    Indicates that an entity refers to or is associated with a specific legislative session by its official name.
  • E. correspondingLegislature
    Indicates the relationship in which a given political or administrative unit is linked to the specific legislative body that formally represents or governs it.
  • 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_69f76f0124408190bb39c3040734846b completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fce545fec881909247a3af821d21ae completed May 7, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69fce12eaeec81908cf81346b2cef6e0 completed May 7, 2026, 6:59 p.m.
Created at: May 3, 2026, 4:33 p.m.