Triple

T17851458
Position Surface form Disambiguated ID Type / Status
Subject Gangneung E445814 entity
Predicate transport P230 FINISHED
Object Gangneung Station 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: Gangneung Station | Statement: [Gangneung, transport, Gangneung Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangneung Station
Context triple: [Gangneung, transport, Gangneung Station]
  • A. Gangneung Station chosen
    Gangneung Station is a major railway station in Gangneung, South Korea, serving as a key access point to the city and nearby coastal attractions.
  • B. Gwangmyeong Station
    Gwangmyeong Station is a major high-speed rail station in Gwangmyeong, South Korea, serving as an important stop on the KTX network connecting Seoul with other key cities nationwide.
  • C. Kwangmyong Station
    Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • D. Pohang Station
    Pohang Station is a major railway station in Pohang, South Korea, serving as the eastern endpoint of high-speed KTX services and a key regional transportation hub.
  • E. Jonggak Station
    Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48fff6c288190a2b5e60b66c03ddc completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:17 a.m.