Triple

T16825016
Position Surface form Disambiguated ID Type / Status
Subject Lisbon metropolitan area E408996 entity
Predicate largestUrbanRegionIn P1890 FINISHED
Object Portugal E866 NE FINISHED

How this triple was built (3 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: Portugal | Statement: [Lisbon metropolitan area, largestUrbanRegionIn, Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portugal
Context triple: [Lisbon metropolitan area, largestUrbanRegionIn, Portugal]
  • A. Portugal chosen
    Portugal is a Southern European country on the Iberian Peninsula, known for its maritime history, Atlantic coastline, and role as one of the world’s earliest global colonial powers.
  • B. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • C. Portugal and Spain
    Portugal and Spain are neighboring Iberian countries in southwestern Europe known for their rich maritime histories, distinct Romance languages, and influential cultural and imperial legacies.
  • D. mainland Portugal
    Mainland Portugal is the continental part of the Portuguese Republic in southwestern Europe, comprising the country’s primary territory on the Iberian Peninsula.
  • E. Portela
    Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestUrbanRegionIn
Context triple: [Lisbon metropolitan area, largestUrbanRegionIn, Portugal]
  • A. largestUrbanConcentrationIn
    Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
  • B. largestMetropolitanArea chosen
    Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
  • C. nearestLargeUrbanArea
    Indicates that one entity is the closest major city or large urban center to the other entity.
  • D. largestCity
    Indicates that one city is the most populous or significant urban center within a specified region or entity.
  • E. largestCityPartiallyIn
    Indicates that one entity is the largest city that lies at least partly within the boundaries of another entity.
  • F. None of above.

Provenance (4 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b310ffec81908087e5aaacc4a7c2 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28592c08190855a7fa5b0a350f5 completed May 10, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69e32b814b188190aee525f8779203cd completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.