Triple

T19403321
Position Surface form Disambiguated ID Type / Status
Subject Pico da Antónia E485383 entity
Predicate municipality P852 FINISHED
Object São Domingos 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: São Domingos | Statement: [Pico da Antónia, municipality, São Domingos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Domingos
Context triple: [Pico da Antónia, municipality, São Domingos]
  • A. São Domingos
    São Domingos is a civil parish within the municipality of Santiago do Cacém in Portugal, known for its rural character and traditional Alentejo landscape.
  • B. São Domingos chosen
    São Domingos is a municipality on the island of Santiago in Cape Verde, known for its rural landscapes and traditional Cape Verdean culture.
  • C. São Domingos de Ana Loura
    São Domingos de Ana Loura is a small civil parish in the municipality of Estremoz, in Portugal’s Alentejo region.
  • D. São Bartolomeu da Serra
    São Bartolomeu da Serra is a small civil parish in the municipality of Santiago do Cacém in the Alentejo region of southern Portugal.
  • E. Santa Cruz das Flores
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257937d081909dbc5804d2505938 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.