Triple

T1710900
Position Surface form Disambiguated ID Type / Status
Subject Busan Metro E36979 entity
Predicate connectsTo P845 FINISHED
Object Busan–Gimhae International Airport E29657 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: Busan–Gimhae International Airport | Statement: [Busan Metro, connectsTo, Busan–Gimhae International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busan–Gimhae International Airport
Context triple: [Busan Metro, connectsTo, Busan–Gimhae International Airport]
  • A. Gimhae International Airport chosen
    Gimhae International Airport is the main international airport serving the Busan metropolitan area in South Korea.
  • B. Gwangju Airport
    Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
  • C. Daegu International Airport
    Daegu International Airport is a regional airport in Daegu, South Korea, serving both domestic and limited international flights.
  • D. Gimpo International Airport
    Gimpo International Airport is a major airport serving the Seoul metropolitan area, primarily handling domestic flights and regional international routes.
  • E. Incheon International Airport
    Incheon International Airport is South Korea's largest and busiest international gateway, serving as a major global hub for passenger and cargo traffic in the Seoul metropolitan area.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63149288819082e7055d0d292d1d completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8addf4a48190b19cdb861db5eecd completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.