Triple

T5565985
Position Surface form Disambiguated ID Type / Status
Subject Seoul Special City E145879 entity
Predicate hasAirport P105 FINISHED
Object Gimpo International Airport E105451 NE 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: Gimpo International Airport | Statement: [Seoul Special City, hasAirport, Gimpo International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gimpo International Airport
Context triple: [Seoul Special City, hasAirport, Gimpo International Airport]
  • A. Gimpo International Airport chosen
    Gimpo International Airport is a major airport serving the Seoul metropolitan area, primarily handling domestic flights and regional international routes.
  • B. Gwangju Airport
    Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
  • C. Neryungri Airport
    Neryungri Airport is a regional airport in the Sakha Republic of Russia that serves the town of Neryungri and its surrounding area.
  • D. Daegu International Airport
    Daegu International Airport is a regional airport in Daegu, South Korea, serving both domestic and limited international flights.
  • E. Jeju International Airport
    Jeju International Airport is the main airport serving South Korea’s Jeju Island, handling extensive domestic traffic and a growing number of international flights for this major tourist destination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02034fc3081908920c52a19d462e1 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284525148190a7bf88c22723552a completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:36 p.m.