Triple

T10102602
Position Surface form Disambiguated ID Type / Status
Subject Vidigal E216238 entity
Predicate locatedAt P40 FINISHED
Object Morro do Vidigal E775631 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: Morro do Vidigal | Statement: [Vidigal, locatedAt, Morro do Vidigal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morro do Vidigal
Context triple: [Vidigal, locatedAt, Morro do Vidigal]
  • A. Morro do Vidigal chosen
    Morro do Vidigal is a favela community in Rio de Janeiro, Brazil, known for its hillside location overlooking the ocean and its proximity to the iconic Morro Dois Irmãos.
  • B. Morro do Careca
    Morro do Careca is a famous dune-topped hill covered with vegetation that serves as an iconic natural symbol of Natal in Brazil’s Rio Grande do Norte state.
  • C. Morro Branco
    Morro Branco is a famous beach in the Brazilian state of Ceará, known for its colorful sand cliffs, labyrinthine sand formations, and scenic coastal landscapes.
  • D. Morro de Môco
    Morro de Môco is the tallest mountain in Angola, a prominent peak in the country's central highlands.
  • E. Penha Mountain
    Penha Mountain is a prominent natural and religious landmark overlooking the city of Guimarães in northern Portugal, known for its scenic views, forests, and the Sanctuary of Nossa Senhora da Penha.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
Created at: March 30, 2026, 9:02 p.m.