Triple

T8538384
Position Surface form Disambiguated ID Type / Status
Subject Silves Cathedral E202134 entity
Predicate locatedIn P40 FINISHED
Object Silves E39437 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: Silves | Statement: [Silves Cathedral, locatedIn, Silves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silves
Context triple: [Silves Cathedral, locatedIn, Silves]
  • A. Silves chosen
    Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
  • B. Elvas
    Elvas is a historic fortified city in eastern Portugal, near the Spanish border, renowned for its extensive star-shaped fortifications and aqueduct, both recognized as UNESCO World Heritage sites.
  • C. Portimão
    Portimão is a coastal city and popular tourist destination in southern Portugal, known for its beaches, marina, and vibrant waterfront along the Arade River.
  • D. Mértola
    Mértola is a historic riverside town and municipality in southeastern Portugal known for its well-preserved medieval architecture and rich Islamic and Roman heritage.
  • E. Tavira
    Tavira is a historic coastal town in Portugal’s Algarve region, known for its picturesque old town, Roman bridge, and nearby island beaches.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a5c2848190836c612597de83b7 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3391ff08190a725b0549fb0bc89 completed April 4, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:18 p.m.