Triple

T10441659
Position Surface form Disambiguated ID Type / Status
Subject Bezymianny volcano E246183 entity
Predicate similarityReason P94048 FINISHED
Object sector collapse and lateral blast 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: sector collapse and lateral blast | Statement: [Bezymianny volcano, similarityReason, sector collapse and lateral blast]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: similarityReason
Context triple: [Bezymianny volcano, similarityReason, sector collapse and lateral blast]
  • A. lessSimilarTo
    Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
  • B. statedReason
    Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
  • C. selectionReason
    Indicates the reason or justification for choosing or selecting one entity over alternatives.
  • D. moreSimilarTo
    Indicates that one entity bears a greater degree of similarity to a second entity than to a third entity, according to some defined similarity measure.
  • E. culturallySimilarTo
    Indicates that two entities share comparable cultural characteristics, practices, or values.
  • F. None of above. chosen

Provenance (4 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe083cd881909d2d8ad75d1d94cb completed April 7, 2026, 12:52 p.m.
PD Predicate disambiguation batch_69d4fb73a5e48190a8df4775bc5da80f completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d4fe058fcc81909428137d9ffd6d90 completed April 7, 2026, 12:52 p.m.
Created at: April 6, 2026, 12:15 p.m.