Triple

T23799094
Position Surface form Disambiguated ID Type / Status
Subject Gui-ob Church Ruins E588619 entity
Predicate causeOfRuins P26452 FINISHED
Object volcanic eruption 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: volcanic eruption | Statement: [Gui-ob Church Ruins, causeOfRuins, volcanic eruption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfRuins
Context triple: [Gui-ob Church Ruins, causeOfRuins, volcanic eruption]
  • A. hasCauseOfDestruction
    Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
  • B. causeOfDownfall chosen
    Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
  • C. causeOfDisaster
    Indicates that the subject is responsible for bringing about or triggering the specified disaster.
  • D. disasterCauseDetail
    Indicates a detailed explanation of the specific cause or contributing factors behind a disaster.
  • E. consequenceOfDestruction
    Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
  • 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6dfaae081908be48fa89e625f71 completed April 29, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:51 p.m.