Triple

T1691113
Position Surface form Disambiguated ID Type / Status
Subject Gijang County E36549 entity
Predicate hasTransportation P105 FINISHED
Object Donghae Line E188645 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: Donghae Line | Statement: [Gijang County, hasTransportation, Donghae Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donghae Line
Context triple: [Gijang County, hasTransportation, Donghae Line]
  • A. Donghae Line chosen
    The Donghae Line is a railway line in South Korea that runs along the country’s eastern coast, connecting major cities and districts in the Busan–Ulsan–Pohang region.
  • B. Hanwa Line
    The Hanwa Line is a major railway line in Japan’s Kansai region operated by JR West, connecting central Osaka with southern Osaka Prefecture and Wakayama.
  • C. Nakdong River line
    The Nakdong River line was a critical defensive front held by United Nations and South Korean forces in southeast Korea during the early stages of the Korean War.
  • D. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6298fa748190acabb9f1d42bd3f5 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5b9be4481908c0b6f030889edfb completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:29 p.m.