Triple

T12778348
Position Surface form Disambiguated ID Type / Status
Subject Rio Grande da Serra E305436 entity
Predicate borderedBy P224 FINISHED
Object Mauá E293505 NE 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: Mauá | Statement: [Rio Grande da Serra, borderedBy, Mauá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauá
Context triple: [Rio Grande da Serra, borderedBy, Mauá]
  • A. Mauá chosen
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • B. Conceição
    Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • E. Parangolé
    Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fefabc8081908e46ffcaef22cce1 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 5:29 p.m.