Triple

T12939847
Position Surface form Disambiguated ID Type / Status
Subject FNC E309607 entity
Predicate associatedAirportOperatorCountry P107602 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: [FNC, associatedAirportOperatorCountry, Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portugal
Context triple: [FNC, associatedAirportOperatorCountry, 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: associatedAirportOperatorCountry
Context triple: [FNC, associatedAirportOperatorCountry, Portugal]
  • A. belongsToAirportOperator
    Indicates that an airport or related facility is owned, managed, or operated by a specific airport operating organization.
  • B. linkedAirlineCountry
    Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
  • C. aircraftOperator
    Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
  • D. airlineOperator
    Indicates that one entity operates or manages airline services for another entity or in a specified context.
  • E. primaryAircraftOperator
    Indicates that one entity is the main organization or individual responsible for operating a particular aircraft.
  • F. None of above. chosen

Provenance (5 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0ec7e8081909fcff6cff11a9337 completed May 3, 2026, 3:28 a.m.
PD Predicate disambiguation batch_69d97db69f548190a1a693bc0d6c191a completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97e5811f481908178fac6d2e0efcd completed April 10, 2026, 10:48 p.m.
Created at: April 9, 2026, 5:43 p.m.