Triple

T4074703
Position Surface form Disambiguated ID Type / Status
Subject SPJC E86733 entity
Predicate associatedAirportServesCity P51581 FINISHED
Object Lima E2605 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 | Statement: [SPJC, associatedAirportServesCity, Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima
Context triple: [SPJC, associatedAirportServesCity, Lima]
  • A. Lima chosen
    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. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • C. Chiclayo
    Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
  • D. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • E. 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.
  • 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: associatedAirportServesCity
Context triple: [SPJC, associatedAirportServesCity, Lima]
  • 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. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • E. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial 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_69b57f18218881908c95266c6b18ad47 completed March 14, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69aef9061d2481908307cafc9e9b32c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.