Triple

T18907516
Position Surface form Disambiguated ID Type / Status
Subject Zurawski v. State of Texas E462503 entity
Predicate challengesLaw P113447 FINISHED
Object Texas near-total abortion ban 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: Texas near-total abortion ban | Statement: [Zurawski v. State of Texas, challengesLaw, Texas near-total abortion ban]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: challengesLaw
Context triple: [Zurawski v. State of Texas, challengesLaw, Texas near-total abortion ban]
  • A. legalDoctrineChallenged
    Indicates that a particular legal doctrine is being disputed, questioned, or contested, typically through litigation or formal legal argument.
  • B. doctrineChallenged
    Indicates that a particular doctrine, principle, or set of beliefs is being questioned, disputed, or formally contested.
  • C. legalInstrumentChallenged chosen
    Indicates that a particular legal instrument (such as a law, regulation, contract, or order) is being formally disputed or contested, typically through legal or administrative proceedings.
  • D. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • E. lawJournal
    Indicates a relationship where a work is published in, associated with, or appears within a specific law journal.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52dcb948190a5b6a783512bf7d6 completed April 20, 2026, 6:18 a.m.
PD Predicate disambiguation batch_69e4a2e9e6488190ba8df92c8058ed88 completed April 19, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:58 a.m.