Triple

T16872062
Position Surface form Disambiguated ID Type / Status
Subject Uijeongbu E421193 entity
Predicate hasTransportation P105 FINISHED
Object Uijeongbu Light Rail Transit E1148693 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: Uijeongbu Light Rail Transit | Statement: [Uijeongbu, hasTransportation, Uijeongbu Light Rail Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uijeongbu Light Rail Transit
Context triple: [Uijeongbu, hasTransportation, Uijeongbu Light Rail Transit]
  • A. Uijeongbu Light Rail Transit chosen
    Uijeongbu Light Rail Transit is an automated light metro system serving the city of Uijeongbu in Gyeonggi Province, South Korea.
  • B. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • C. 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.
  • D. Busan–Jinhae light rail
    The Busan–Jinhae light rail is a regional urban rail transit line in South Korea that connects the cities of Busan and Jinhae, supporting commuter travel and development within the Busan–Jinhae Free Economic Zone.
  • E. Gwangju Metro
    Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f31b448190a21e3e4d1a0d2f73 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a27f548190963c35f40f4420f8 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.