Triple

T32547004
Position Surface form Disambiguated ID Type / Status
Subject Avernus Lake E831871 entity
Predicate wasBelievedToCause P146054 FINISHED
Object death to birds flying over it 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: death to birds flying over it | Statement: [Avernus Lake, wasBelievedToCause, death to birds flying over it]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasBelievedToCause
Context triple: [Avernus Lake, wasBelievedToCause, death to birds flying over it]
  • A. debatedAsCauseOf
    Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
  • B. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • C. possibleCauseOf chosen
    Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
  • D. eligibleCause
    Indicates that one entity qualifies as a valid or acceptable cause or reason for another entity or outcome.
  • E. almostCaused
    Indicates that one entity’s actions or state came close to causing an effect or event involving another entity, but the outcome ultimately did not occur.
  • 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:02 a.m.