Triple

T17376052
Position Surface form Disambiguated ID Type / Status
Subject Baia E422440 entity
Predicate hasCauseOfSubmergence P127251 FINISHED
Object bradyseism 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: bradyseism | Statement: [Baia, hasCauseOfSubmergence, bradyseism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCauseOfSubmergence
Context triple: [Baia, hasCauseOfSubmergence, bradyseism]
  • A. submergedBy
    Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
  • B. formedBySubmerging
    Indicates that something comes into existence or is created as a result of being placed or held beneath the surface of a liquid.
  • C. impactOfSubmergence
    Indicates the effect or consequences that submerging one entity (typically in a fluid or environment) has on another entity or on its properties.
  • D. submerged
    Indicates that one entity is located beneath the surface of a liquid or other surrounding medium, typically fully covered by it.
  • E. submergenceBegan
    Indicates that the process of becoming submerged (typically in a fluid such as water) has started for the subject.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6c864481908507290282cc6d25 completed April 19, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69e3b02ac8688190a7182f1b2151d721 completed April 18, 2026, 4:24 p.m.
PDg Predicate description generation batch_69e3b2a33e8481908fa6ef45290d08aa completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:45 a.m.