Triple

T5530700
Position Surface form Disambiguated ID Type / Status
Subject Vila do Bispo area E145039 entity
Predicate contains P35 FINISHED
Object Sagres E39987 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: Sagres | Statement: [Vila do Bispo area, contains, Sagres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagres
Context triple: [Vila do Bispo area, contains, Sagres]
  • A. Sagres chosen
    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.
  • B. Fortress of Sagres
    The Fortress of Sagres is a historic coastal stronghold in Portugal’s Algarve region, long associated with maritime exploration and the legacy of Prince Henry the Navigator.
  • C. Porto de Mós
    Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
  • D. Marina de Tavira
    Marina de Tavira is a Mexican actress best known internationally for her Academy Award–nominated supporting role in Alfonso Cuarón’s film "Roma."
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059db45188190b2d1ae2e2b900f91 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:34 p.m.