Triple

T19908532
Position Surface form Disambiguated ID Type / Status
Subject Cathedral of Leiria E478482 entity
Predicate locatedIn P40 FINISHED
Object District of Leiria 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: District of Leiria | Statement: [Cathedral of Leiria, locatedIn, District of Leiria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District of Leiria
Context triple: [Cathedral of Leiria, locatedIn, District of Leiria]
  • A. Lisbon District
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • B. Leiria District chosen
    Leiria District is an administrative region in central Portugal known for its coastal cities, historical sites, and diverse landscapes between Lisbon and Coimbra.
  • C. Oeiras
    Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • D. Oeiras
    Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
  • E. Ribeira district
    The Ribeira district is Porto’s historic riverside quarter, known for its narrow medieval streets, colorful waterfront buildings, and lively cafés along the Douro River.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598d91ac8190be6abdd7d1542aec completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.