Triple

T10175341
Position Surface form Disambiguated ID Type / Status
Subject Praia do Beliche E235836 entity
Predicate isExposedTo P53531 FINISHED
Object Atlantic swells 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: Atlantic swells | Statement: [Praia do Beliche, isExposedTo, Atlantic swells]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isExposedTo
Context triple: [Praia do Beliche, isExposedTo, Atlantic swells]
  • A. exposesTo chosen
    Indicates that one entity subjects another entity to contact with or influence from something, typically involving risk, effect, or experience.
  • B. providesExposureTo
    Indicates that one entity gives another entity the opportunity to be seen, noticed, or become known by a particular audience, environment, or set of influences.
  • C. exposedThrough
    Indicates that something becomes revealed, accessible, or affected as a result of passing through or being subjected to another thing or medium.
  • D. exposedDuring
    Indicates that something becomes visible, accessible, or subject to influence specifically within a given time period, event, or contextual interval.
  • E. exposed
    Indicates that one entity has been made visible, revealed, or left unprotected to another entity or to some external influence.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd26a8c8190a391b9d5e47ebb72 completed April 2, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69cd7c79f21c8190a7f31b2eab80b8ba completed April 1, 2026, 8:13 p.m.
Created at: March 30, 2026, 9:11 p.m.