Triple

T17733765
Position Surface form Disambiguated ID Type / Status
Subject Gwacheon E442655 entity
Predicate transportConnection P1298 FINISHED
Object Government Complex Gwacheon Station NE NERFINISHED

How this triple was built (3 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: Government Complex Gwacheon Station | Statement: [Gwacheon, transportConnection, Government Complex Gwacheon Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Government Complex Gwacheon Station
Context triple: [Gwacheon, transportConnection, Government Complex Gwacheon Station]
  • A. Kim Daejung Convention Center Station
    Kim Daejung Convention Center Station is a subway station on the Gwangju Metro that serves the Kim Daejung Convention Center and its surrounding area in Gwangju, South Korea.
  • B. Songdo Station
    Songdo Station is a railway station serving the Songdo area in Incheon, South Korea, providing regional and commuter rail connections within the metropolitan transit network.
  • C. Seoul National University Station
    Seoul National University Station is a major Seoul Metropolitan Subway stop serving the area near Seoul National University in southern Seoul.
  • D. Pyeongchang Station
    Pyeongchang Station is a railway station in Pyeongchang, South Korea, providing access to the region including venues used during the 2018 Winter Olympics.
  • E. Suwon Station
    Suwon Station is a major railway and subway hub in Suwon, South Korea, serving as a key transit, commercial, and regional transportation center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Government Complex Gwacheon Station
Target entity description: Government Complex Gwacheon Station is a subway station in Gwacheon, South Korea, serving as a key access point to the nearby government office complex.
  • A. Kim Daejung Convention Center Station
    Kim Daejung Convention Center Station is a subway station on the Gwangju Metro that serves the Kim Daejung Convention Center and its surrounding area in Gwangju, South Korea.
  • B. Songdo Station
    Songdo Station is a railway station serving the Songdo area in Incheon, South Korea, providing regional and commuter rail connections within the metropolitan transit network.
  • C. Seoul National University Station
    Seoul National University Station is a major Seoul Metropolitan Subway stop serving the area near Seoul National University in southern Seoul.
  • D. Pyeongchang Station
    Pyeongchang Station is a railway station in Pyeongchang, South Korea, providing access to the region including venues used during the 2018 Winter Olympics.
  • E. Suwon Station
    Suwon Station is a major railway and subway hub in Suwon, South Korea, serving as a key transit, commercial, and regional transportation center.
  • F. None of above. chosen

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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e86f188190a5dd7fb32fd04c7b completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.