Triple

T21434838
Position Surface form Disambiguated ID Type / Status
Subject Algar Seco E528780 entity
Predicate locatedIn P40 FINISHED
Object Carvoeiro 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: Carvoeiro | Statement: [Algar Seco, locatedIn, Carvoeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carvoeiro
Context triple: [Algar Seco, locatedIn, Carvoeiro]
  • A. Carvoeiro chosen
    Carvoeiro is a picturesque coastal village in southern Portugal known for its dramatic cliffs, sandy beaches, and role as a popular holiday destination.
  • B. Porto Covo
    Porto Covo is a small coastal village in Portugal’s Alentejo region, known for its picturesque beaches, rugged cliffs, and traditional whitewashed houses.
  • C. Calheta
    Calheta is a coastal town on the Cape Verdean island of Maio, known for its quiet beaches and traditional island life.
  • D. Espinho
    Espinho is a coastal city and municipality in northern Portugal, known for its beaches, casino, and traditional fishing heritage.
  • E. Espinho
    Espinho is a civil parish located in the municipality of Mangualde in Portugal’s Viseu District.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b53516d081908f8058a8ee363629 completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6 p.m.