Triple

T2393475
Position Surface form Disambiguated ID Type / Status
Subject Guarantee Clause E47594 entity
Predicate oftenHeldToBe P38176 FINISHED
Object non-justiciable in federal 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: non-justiciable in federal courts | Statement: [Guarantee Clause, oftenHeldToBe, non-justiciable in federal courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenHeldToBe
Context triple: [Guarantee Clause, oftenHeldToBe, non-justiciable in federal courts]
  • A. holdsFor
    Indicates that a particular relationship or condition remains true over a specified interval or duration of time.
  • B. holdsIn
    Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
  • C. held
    Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
  • D. holdsUnder
    Indicates that one entity maintains possession, control, or validity of another entity subject to certain conditions, constraints, or a specific context.
  • E. alsoHolds
    Indicates that a condition, property, or relation that applies in one context or case simultaneously applies in another context or case.
  • F. None of above. chosen

Provenance (4 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc876d48881909e4d6f5ebe430012 completed March 7, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69abc5a1b5748190b4cd8989700f4dd2 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc682d094819081a96ffb77c4c42a completed March 7, 2026, 6:32 a.m.
Created at: March 4, 2026, 7:57 p.m.