Triple

T8457830
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Coast E199963 entity
Predicate contains P35 FINISHED
Object Costa da Caparica E109941 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: Costa da Caparica | Statement: [Lisbon Coast, contains, Costa da Caparica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa da Caparica
Context triple: [Lisbon Coast, contains, Costa da Caparica]
  • A. Costa da Caparica chosen
    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.
  • B. 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.
  • C. Estoril
    Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
  • D. Figueira da Foz
    Figueira da Foz is a coastal Portuguese city at the mouth of the Mondego River, known for its wide sandy beaches and seaside tourism.
  • E. 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.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49064f881909391d565b97e9886 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39caf4bc8190a1850b2124684a2a completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:10 p.m.