Triple

T13559651
Position Surface form Disambiguated ID Type / Status
Subject Expédition d’Irlande E323870 entity
Predicate causeDeL’échec P77548 FINISHED
Object mauvais temps 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: mauvais temps | Statement: [Expédition d’Irlande, causeDeL’échec, mauvais temps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeDeL’échec
Context triple: [Expédition d’Irlande, causeDeL’échec, mauvais temps]
  • A. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. failureCause chosen
    Indicates that one event, condition, or factor is the reason or source that caused a particular failure to occur.
  • C. causeStatus
    Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
  • D. fallCause
    Indicates that one event or condition causes or brings about another event of falling or decline.
  • E. causeOfDownfall
    Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.