Triple

T1931054
Position Surface form Disambiguated ID Type / Status
Subject Carvoeiro E40947 entity
Predicate hasBeach P1922 FINISHED
Object Praia do Carvoeiro E215174 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: Praia do Carvoeiro | Statement: [Carvoeiro, hasBeach, Praia do Carvoeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia do Carvoeiro
Context triple: [Carvoeiro, hasBeach, Praia do Carvoeiro]
  • A. Praia da Luz
    Praia da Luz is a popular seaside resort village in Portugal’s Algarve region, known for its sandy beach, cliffs, and tourist-oriented waterfront.
  • B. Praia de Alvor
    Praia de Alvor is a popular sandy beach in the Algarve region of southern Portugal, known for its wide shoreline, calm waters, and scenic boardwalks through nearby dunes and wetlands.
  • C. Vilamoura
    Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
  • D. Costa da Caparica
    Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
  • E. Carvoeiro beach chosen
    Carvoeiro Beach is a picturesque sandy cove on Portugal’s Algarve coast, famed for its dramatic cliffs, clear waters, and charming whitewashed village backdrop.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb296910481908c9668518c09fdb0 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3044b25c81908a7ebbc6e62a8053 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:35 p.m.