Triple

T18849687
Position Surface form Disambiguated ID Type / Status
Subject Sete Rios E461007 entity
Predicate locatedIn P40 FINISHED
Object Lisbon District 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: Lisbon District | Statement: [Sete Rios, locatedIn, Lisbon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon District
Context triple: [Sete Rios, locatedIn, Lisbon District]
  • A. Lisbon District chosen
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • B. Porto District
    Porto District is an administrative region in northern Portugal centered on the city of Porto, known for its historic architecture, port wine production, and Atlantic coastline.
  • C. Beiro district
    Beiro district is an urban administrative area of Granada, Spain, located near the historic center and known for its mix of residential neighborhoods, university facilities, and local services.
  • D. 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.
  • E. Santa Leonor District
    Santa Leonor District is an administrative district located within Huaura Province in the Lima Region of Peru, characterized by its rural Andean landscapes and small population.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.