Triple

T18736800
Position Surface form Disambiguated ID Type / Status
Subject Mosteiros E458182 entity
Predicate hasSettlement P1068 FINISHED
Object Fajãzinha (Mosteiros) 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 (Mosteiros) | Statement: [Mosteiros, hasSettlement, Fajãzinha (Mosteiros)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fajãzinha (Mosteiros)
Context triple: [Mosteiros, hasSettlement, Fajãzinha (Mosteiros)]
  • A. Mosteiros municipality
    Mosteiros municipality is an administrative division on Fogo Island in Cape Verde, known for its coastal villages, agricultural activity, and volcanic landscapes.
  • B. Barreiro da Faneca
    Barreiro da Faneca is a locality in Portugal, likely a small settlement or geographic area whose name refers to a characteristic landscape or historical feature.
  • C. São João da Fresta
    São João da Fresta is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District.
  • D. Mosteiros chosen
    Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
  • E. Mosteiros
    Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
  • 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.