Triple

T8457825
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Coast E199963 entity
Predicate partOf P40 FINISHED
Object Portuguese Riviera E615482 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: Portuguese Riviera | Statement: [Lisbon Coast, partOf, Portuguese Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese Riviera
Context triple: [Lisbon Coast, partOf, Portuguese Riviera]
  • A. Portuguese Riviera chosen
    The Portuguese Riviera is a glamorous coastal region west of Lisbon known for its historic seaside resorts, casinos, beaches, and affluent lifestyle.
  • B. Algarve
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • C. Beira-Mar
    Beira-Mar is a Portuguese football club based in Aveiro, known for competing in the country’s professional leagues and developing notable players such as Eusébio.
  • D. Portuguese Atlantic coast
    The Portuguese Atlantic coast is the long western shoreline of Portugal along the Atlantic Ocean, known for its scenic beaches, surf spots, fishing towns, and maritime heritage.
  • E. Costa da Morte
    Costa da Morte is a rugged, Atlantic-battered coastal region in northwestern Spain known for its dramatic cliffs, lighthouses, and history of shipwrecks.
  • 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_69cfc1b1c21c8190969446fb6fd0394f completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:10 p.m.