Triple

T18736788
Position Surface form Disambiguated ID Type / Status
Subject Mosteiros E458182 entity
Predicate hasSettlement P1068 FINISHED
Object Fajãzinha 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: Fajãzinha | Statement: [Mosteiros, hasSettlement, Fajãzinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fajãzinha
Context triple: [Mosteiros, hasSettlement, Fajãzinha]
  • A. Fajãzinha chosen
    Fajãzinha is a small coastal village on Flores Island in the Azores, Portugal, known for its dramatic cliffs, waterfalls, and lush green landscapes.
  • B. Fajã de Baixo
    Fajã de Baixo is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • C. Fajã d’Água
    Fajã d’Água is a small coastal village on the island of Brava in Cape Verde, known for its dramatic cliffs, natural swimming pools, and scenic ocean views.
  • D. Fajã dos Cubres
    Fajã dos Cubres is a picturesque coastal lava debris plain and lagoon on São Jorge Island in the Azores, known for its scenic beauty, traditional village, and rich biodiversity.
  • E. Fajã de São João
    Fajã de São João is a small coastal settlement and lava-delta plain on the south coast of São Jorge Island in the Azores, known for its traditional houses, terraced agriculture, and scenic ocean views.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.