Triple

T5671236
Position Surface form Disambiguated ID Type / Status
Subject LIRF E124981 entity
Predicate servesAsMainGatewayTo P6759 FINISHED
Object Rome metropolitan area LITERAL FINISHED

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: Rome metropolitan area | Statement: [LIRF, servesAsMainGatewayTo, Rome metropolitan area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesAsMainGatewayTo
Context triple: [LIRF, servesAsMainGatewayTo, Rome metropolitan area]
  • A. servesAsGatewayTo
    Indicates that one entity functions as an entry point, access route, or intermediary channel that enables reaching or connecting to another entity.
  • B. isMajorInternationalGatewayFor chosen
    Indicates that one entity serves as a primary, globally significant access point or hub for another entity’s international connections or flows.
  • C. servesAsThroughStationFor
    Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
  • D. isMainConcourseOf
    Indicates that one concourse serves as the primary or central concourse within a larger facility or complex.
  • E. isMostCommonRouteTo
    Indicates that one route is the most frequently used or typical way to reach a particular destination or outcome compared to all other possible routes.
  • F. None of above.

Provenance (3 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69c021bc3894819084f37d14ba4b2644 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:43 p.m.