Triple

T3715951
Position Surface form Disambiguated ID Type / Status
Subject Green Line (Los Angeles Metro) E81529 entity
Predicate servesAirportArea P6864 FINISHED
Object Los Angeles International Airport vicinity 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: Los Angeles International Airport vicinity | Statement: [Green Line (Los Angeles Metro), servesAirportArea, Los Angeles International Airport vicinity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesAirportArea
Context triple: [Green Line (Los Angeles Metro), servesAirportArea, Los Angeles International Airport vicinity]
  • A. servesAirport chosen
    Indicates that a transportation service or route provides access to and operates for a particular airport.
  • B. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • C. 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.
  • D. areaServed
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • E. servesSuburbsOf
    Indicates that a service, route, or facility provides coverage or support to the suburban areas associated with a particular city or region.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9cf77dc819098979094172d82d1 completed March 8, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69adc0436e508190909ec4a3e8443aef completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:33 p.m.