Triple

T19766616
Position Surface form Disambiguated ID Type / Status
Subject Ponta Baleia E474773 entity
Predicate isPartOf P10 FINISHED
Object Caué District NE NERFINISHED

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: Caué District | Statement: [Ponta Baleia, isPartOf, Caué District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caué District
Context triple: [Ponta Baleia, isPartOf, Caué District]
  • A. Caué District chosen
    Caué District is an administrative district in the southern part of São Tomé Island in São Tomé and Príncipe, known for its coastal landscapes and including the small island of Ilhéu das Rolas.
  • B. Candeias district
    Candeias district is a coastal urban neighborhood of Jaboatão dos Guararapes in Pernambuco, Brazil, known for its beach and residential areas.
  • C. Sapallanga District
    Sapallanga District is an administrative district located within Huancayo Province in Peru's central Andean region.
  • D. Ponto District
    Ponto District is an administrative district located within Huari Province in the Ancash Region of Peru.
  • E. Morumbi district
    Morumbi district is an affluent residential and commercial neighborhood in São Paulo, Brazil, known for its upscale housing, shopping centers, and major sports venues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653232e508190a7d484c0a1e2939a completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.