Triple

T11406022
Position Surface form Disambiguated ID Type / Status
Subject JNR E270239 entity
Predicate hadFinancialIssues P24789 FINISHED
Object yes 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: yes | Statement: [JNR, hadFinancialIssues, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadFinancialIssues
Context triple: [JNR, hadFinancialIssues, yes]
  • A. hadIssue
    Indicates that an entity experienced, encountered, or was affected by a particular problem, defect, or difficulty.
  • B. hasEconomicChallenge chosen
    Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
  • C. hasSocioeconomicIssue
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • D. debt
    Indicates that one entity owes money or an obligation to another entity, typically to be repaid under agreed conditions.
  • E. hasBankruptcyMattersHandledBy
    Indicates that bankruptcy-related legal or financial matters of one party are managed or handled by another party.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014c820c81908538ba4a08e13230 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e70ffd708190b62a78ebcbce9f78 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.