Triple

T428666
Position Surface form Disambiguated ID Type / Status
Subject Praia da Falésia E9664 entity
Predicate partOf P40 FINISHED
Object Albufeira coastline E580 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: Albufeira coastline | Statement: [Praia da Falésia, partOf, Albufeira coastline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albufeira coastline
Context triple: [Praia da Falésia, partOf, Albufeira coastline]
  • A. Albufeira chosen
    Albufeira is a popular coastal resort city in Portugal’s Algarve region, known for its beaches, nightlife, and tourism.
  • B. Praia da Oura
    Praia da Oura is a popular sandy beach in Portugal’s Algarve region, known for its lively atmosphere, golden cliffs, and proximity to the resort town of Albufeira.
  • C. Praia da Falésia
    Praia da Falésia is a famous Algarve beach in southern Portugal, known for its long stretch of golden sand backed by striking red and white cliffs.
  • D. Vilamoura
    Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
  • E. Sagres
    Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeecb64c81908c5c83ef7c0181e6 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f67dc3881908d4b1c2f1fbc2aaa completed March 1, 2026, 12:22 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.