Triple

T16197196
Position Surface form Disambiguated ID Type / Status
Subject Marina de Tavira E393092 entity
Predicate name P16 FINISHED
Object Marina de Tavira E393092 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: Marina de Tavira | Statement: [Marina de Tavira, name, Marina de Tavira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marina de Tavira
Context triple: [Marina de Tavira, name, Marina de Tavira]
  • A. Marina de Tavira chosen
    Marina de Tavira is a Mexican actress best known internationally for her Academy Award–nominated supporting role in Alfonso Cuarón’s film "Roma."
  • B. Port of Portimão
    The Port of Portimão is a coastal maritime port in Portugal’s Algarve region, serving mainly cruise ships, passenger traffic, and regional maritime activities.
  • C. Portimão Marina
    Portimão Marina is a modern leisure marina in Portugal’s Algarve region, known for its yacht moorings, waterfront apartments, and proximity to popular beaches and tourist amenities.
  • D. Praia de Tavira
    Praia de Tavira is a popular sandy beach on Tavira Island in Portugal’s Algarve region, known for its extensive shoreline, calm waters, and relaxed holiday atmosphere.
  • E. Port of Olhão
    The Port of Olhão is a coastal Portuguese harbor in the Algarve region, serving as an important center for fishing, maritime trade, and local passenger transport.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dace848190b1a98e47333b922b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0f352081908324783743e47029 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.