Triple

T4074704
Position Surface form Disambiguated ID Type / Status
Subject SPJC E86733 entity
Predicate associatedAirportServesMetropolitanArea P51581 FINISHED
Object Lima metropolitan area E135326 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: Lima metropolitan area | Statement: [SPJC, associatedAirportServesMetropolitanArea, Lima metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lima metropolitan area
Context triple: [SPJC, associatedAirportServesMetropolitanArea, Lima metropolitan area]
  • A. Lima
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • B. Callao
    Callao is Peru’s chief seaport and a major coastal city adjacent to Lima, serving as the country’s principal gateway for maritime trade.
  • C. Greater Lima conurbation chosen
    The Greater Lima conurbation is the large metropolitan area centered on Peru’s capital, Lima, encompassing numerous surrounding districts and cities in a continuous urban expanse.
  • D. Santiago de Surco
    Santiago de Surco is a large, predominantly residential and commercial district in southern Lima, Peru, known for its middle- to upper-class neighborhoods, shopping centers, and educational institutions.
  • E. Lurín
    Lurín is a district in the Lima Province of Peru, known for its archaeological sites, beaches, and growing urban and industrial areas south of central Lima.
  • 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: associatedAirportServesMetropolitanArea
Context triple: [SPJC, associatedAirportServesMetropolitanArea, Lima metropolitan area]
  • A. associatedAirportServes chosen
    Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
  • B. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • C. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • D. hasRegionalAirport
    Indicates that a place or region possesses or is served by a regional airport.
  • E. hasMajorAirport
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b757a4c48190bf72c6852b00777f completed March 14, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69aef9061d2481908307cafc9e9b32c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.