Triple

T2345379
Position Surface form Disambiguated ID Type / Status
Subject Adin Yutzy E45117 entity
Predicate caseOutcomeEffectOn P812 FINISHED
Object compulsory education laws in the United States 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: compulsory education laws in the United States | Statement: [Adin Yutzy, caseOutcomeEffectOn, compulsory education laws in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: caseOutcomeEffectOn
Context triple: [Adin Yutzy, caseOutcomeEffectOn, compulsory education laws in the United States]
  • A. outcomeType
    Indicates the specific category or nature of the result produced by an event, process, or action.
  • B. initialOutcome
    Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
  • C. legalOutcome
    Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
  • D. legalCaseOutcomeAssociatedWith
    Indicates that a particular legal case outcome is connected or linked to a specific related entity, such as a case, party, or legal proceeding.
  • E. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abcade3c808190ab3803538ccbe620 completed March 7, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69abc59616a8819099711834e6f1ccd6 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:52 p.m.