Triple

T8648032
Position Surface form Disambiguated ID Type / Status
Subject Porches E205027 entity
Predicate locatedNear P294 FINISHED
Object Lagoa E146783 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: Lagoa | Statement: [Porches, locatedNear, Lagoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagoa
Context triple: [Porches, locatedNear, Lagoa]
  • A. Lagoa chosen
    Lagoa is a town and municipality in Portugal’s Algarve region, known for its coastal scenery, beaches, and wine production.
  • B. Lagoa
    Lagoa is an affluent lakeside neighborhood in Rio de Janeiro, Brazil, known for its scenic Rodrigo de Freitas Lagoon, upscale residential areas, and recreational waterfront paths.
  • C. Lagoa Comprida
    Lagoa Comprida is a scenic freshwater lake on Flores Island in Portugal’s Azores archipelago, known for its tranquil setting amid lush volcanic landscapes.
  • D. Lagoa Mundaú
    Lagoa Mundaú is a coastal lagoon in Alagoas, Brazil, known for its scenic boat tours, mangrove landscapes, and traditional fishing communities near Maceió.
  • E. Lagoa do Fogo
    Lagoa do Fogo is a scenic crater lake in the central highlands of São Miguel in Portugal’s Azores archipelago, renowned for its volcanic landscape and protected natural surroundings.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48112b4881908901214f41b6bf71 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb8b91881908630f3e4c4461af4 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.