Triple

T19117003
Position Surface form Disambiguated ID Type / Status
Subject AREX E467931 entity
Predicate fullNameKorean P17869 FINISHED
Object 공항철도 NE NERFINISHED

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: 공항철도 | Statement: [AREX, fullNameKorean, 공항철도]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 공항철도
Context triple: [AREX, fullNameKorean, 공항철도]
  • A. Incheon Airport Railroad (AREX) chosen
    Incheon Airport Railroad (AREX) is a rail line in South Korea that connects central Seoul with Incheon International Airport and Gimpo International Airport, providing fast airport rail service for travelers.
  • B. AREX airport railroad
    AREX airport railroad is a high-speed rail line in South Korea that links central Seoul with Incheon International Airport and Gimpo International Airport.
  • C. Capital Airport Express
    Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
  • D. Daegu Metro
    Daegu Metro is the urban rapid transit system serving the city of Daegu in South Korea, providing high-capacity rail transportation across the metropolitan area.
  • E. Seoul Metropolitan Subway
    The Seoul Metropolitan Subway is an extensive rapid transit network serving Seoul and its surrounding metropolitan area, known for its high efficiency, cleanliness, and technological sophistication.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.