Triple

T27929972
Position Surface form Disambiguated ID Type / Status
Subject Gadeokdo New Airport E707952 entity
Predicate hasPlannedInternationalStatus P27545 FINISHED
Object international airport 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: international airport | Statement: [Gadeokdo New Airport, hasPlannedInternationalStatus, international airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedInternationalStatus
Context triple: [Gadeokdo New Airport, hasPlannedInternationalStatus, international airport]
  • A. hasInternationalStatus chosen
    Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
  • B. hasInternationalDestinationType
    Indicates that something is associated with a type or category of international destination.
  • C. hasInternationalDestinations
    Indicates that an entity offers, includes, or is connected to destinations located in foreign countries.
  • D. hasInternationalFlights
    Indicates that an airport or airline operates flights connecting to destinations in other countries.
  • E. hasNoInternationalStatus
    Indicates that an entity lacks any recognized international standing, role, or official status in global or cross-border contexts.
  • 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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f7117e55908190a67105e92bc4830f completed May 3, 2026, 9:12 a.m.
PD Predicate disambiguation batch_69f70f380690819090cc34763ba460ed completed May 3, 2026, 9:02 a.m.
Created at: April 27, 2026, 7:02 p.m.