Triple

T34067821
Position Surface form Disambiguated ID Type / Status
Subject Jordi Turull E873675 entity
Predicate facedLegalProceedingsIn P3010 FINISHED
Object Spain NE NERFINISHED

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: Spain | Statement: [Jordi Turull, facedLegalProceedingsIn, Spain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facedLegalProceedingsIn
Context triple: [Jordi Turull, facedLegalProceedingsIn, Spain]
  • A. hasLegalProceeding chosen
    Indicates that there is a formal legal action, case, or proceeding involving the related entities.
  • B. hasOngoingLegalSignificance
    Indicates that a legal matter, status, or decision continues to have current relevance, effect, or consequences under the law.
  • C. hasCriminalProcedureBasedOn
    Indicates that one legal system’s criminal procedure is derived from, modeled on, or fundamentally influenced by another specified source or framework.
  • D. representedInCourtBy
    Indicates that one party serves as the legal representative or attorney for another party in a court proceeding.
  • E. legalStatusOfProceedings
    Indicates the current legal standing or condition of a set of legal proceedings within a judicial or administrative process.
  • 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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70fb4f18c819099ef6d9177b7d205 completed May 3, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69f70f3a54d481909ba6bdda3647b761 completed May 3, 2026, 9:02 a.m.
Created at: May 1, 2026, 1:52 a.m.