Triple

T24963378
Position Surface form Disambiguated ID Type / Status
Subject Praia de Maceió E624670 entity
Predicate temAmbiente P2900 FINISHED
Object atmosfera tranquila 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: atmosfera tranquila | Statement: [Praia de Maceió, temAmbiente, atmosfera tranquila]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temAmbiente
Context triple: [Praia de Maceió, temAmbiente, atmosfera tranquila]
  • A. environmentalCondition chosen
    Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
  • B. environmentalMedium
    Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
  • C. محیط زیست
    Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living conditions.
  • D. environmentRole
    Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
  • E. environmentAnalogOf
    Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
  • 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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f4242f0968819098c3f0f92054d22f completed May 1, 2026, 3:55 a.m.
PD Predicate disambiguation batch_69f4210130d08190ae30b7943f7a0bbc completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:59 a.m.