Triple

T17548921
Position Surface form Disambiguated ID Type / Status
Subject Auburn Municipal Airport E427402 entity
Predicate commercialAirlineService P9049 FINISHED
Object no 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: no | Statement: [Auburn Municipal Airport, commercialAirlineService, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commercialAirlineService
Context triple: [Auburn Municipal Airport, commercialAirlineService, no]
  • A. airlineService
    Indicates that an airline operates transportation services (such as flights) between specified locations or for specified routes.
  • B. airline chosen
    Indicates that an entity operates as a commercial air transport carrier providing flight services between locations.
  • C. airlineContext
    Indicates a relationship, situation, or action that specifically occurs within or is constrained by an airline-related context (such as flights, carriers, or air travel operations).
  • D. airTransportServedBy
    Indicates that a particular air transport service (such as a route, flight, or airport operation) is provided or operated by a specified carrier or service provider.
  • E. airlineServiceVia
    Indicates that an airline service operates between two locations with a specified intermediate stop or transit point.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.