Triple

T570116
Position Surface form Disambiguated ID Type / Status
Subject Equal Justice Under Law E13642 entity
Predicate hasLegalSignificance P12084 FINISHED
Object aspirational standard for courts 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: aspirational standard for courts | Statement: [Equal Justice Under Law, hasLegalSignificance, aspirational standard for courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalSignificance
Context triple: [Equal Justice Under Law, hasLegalSignificance, aspirational standard for courts]
  • A. legalSignificance chosen
    Indicates that something has recognized importance, effect, or consequence within a legal context or system.
  • B. hasLegalEffect
    Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
  • C. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • D. hasLegalInstrument
    Indicates that there exists a formal legal document or instrument that establishes, governs, or records the relationship between the related entities.
  • E. hasLegalStatus
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b057e708190b4e5975516e58993 completed March 1, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69a494c2caac819086ab316fa49d324c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.