Triple

T2259231
Position Surface form Disambiguated ID Type / Status
Subject Ever Given E49997 entity
Predicate groundingCause P694 FINISHED
Object loss of steering in high winds and poor visibility 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: loss of steering in high winds and poor visibility | Statement: [Ever Given, groundingCause, loss of steering in high winds and poor visibility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: groundingCause
Context triple: [Ever Given, groundingCause, loss of steering in high winds and poor visibility]
  • A. causeOf chosen
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. fallCause
    Indicates that one event or condition causes or brings about another event of falling or decline.
  • C. ground
    Indicates that one entity is in contact with or supported by the ground or a ground-like surface.
  • D. causeSupported
    Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
  • E. groundComponent
    Indicates that one entity serves as a foundational or base part upon which another entity is built, attached, or functionally dependent.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15ad06c8190b6d0babc17015787 completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbdb34c148190b51e99f540f97204 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:48 p.m.