Triple

T21881739
Position Surface form Disambiguated ID Type / Status
Subject Martinchel E540299 entity
Predicate countrySubdivision P766 FINISHED
Object Centro Region NE NERFINISHED

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: Centro Region | Statement: [Martinchel, countrySubdivision, Centro Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro Region
Context triple: [Martinchel, countrySubdivision, Centro Region]
  • A. Centro Region chosen
    The Centro Region is an administrative region in central Portugal known for its historic cities, universities, and diverse landscapes ranging from Atlantic coastline to mountainous interiors.
  • B. San Lorenzo region
    The San Lorenzo region is an important archaeological area in southern Veracruz, Mexico, best known as one of the principal centers of the ancient Olmec civilization.
  • C. Litoral region
    The Litoral region is a northeastern area of Argentina along major rivers that historically served as a key economic and strategic corridor, especially during 19th-century conflicts.
  • D. Costa Grande region
    The Costa Grande region is a coastal area in the Mexican state of Guerrero known for its beaches, fishing communities, and agricultural production.
  • E. Norte Region
    Norte Region is the northernmost administrative region of Portugal, known for its historic cities like Porto and Braga, rich cultural heritage, and strong industrial and academic presence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e7a3c48190be1cc285ad4b6496 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:04 p.m.