Triple

T1667399
Position Surface form Disambiguated ID Type / Status
Subject New York v. Trump Entrepreneur Initiative LLC E36043 entity
Predicate goalOfPlaintiff P6636 FINISHED
Object obtain restitution for affected students 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: obtain restitution for affected students | Statement: [New York v. Trump Entrepreneur Initiative LLC, goalOfPlaintiff, obtain restitution for affected students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalOfPlaintiff
Context triple: [New York v. Trump Entrepreneur Initiative LLC, goalOfPlaintiff, obtain restitution for affected students]
  • A. typeOfClaim
    Indicates the specific category or nature of a claim being made in relation to an entity or statement.
  • B. goals chosen
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • C. partyTypePlaintiffs
    Indicates the classification or category of the parties serving as plaintiffs in a legal action.
  • D. aimsToSolve
    Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
  • E. legalOutcome
    Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abc0e8d5648190915ff689c7ca42bc completed March 7, 2026, 6:08 a.m.
PD Predicate disambiguation batch_69a907d331748190963d4ab1a2741537 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.