Triple

T20557029
Position Surface form Disambiguated ID Type / Status
Subject Jinju Station E504744 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Jinju City Hall 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: Jinju City Hall | Statement: [Jinju Station, hasNearbyLandmark, Jinju City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinju City Hall
Context triple: [Jinju Station, hasNearbyLandmark, Jinju City Hall]
  • A. Busan Metropolitan City Hall
    Busan Metropolitan City Hall is the main administrative headquarters of the Busan metropolitan government in South Korea.
  • B. Ulsan City Hall
    Ulsan City Hall is the main municipal government building and administrative center serving the city of Ulsan, South Korea.
  • C. Gwangju City Hall
    Gwangju City Hall is the main municipal government building and administrative center of Gwangju, a major city in South Korea.
  • D. Incheon City Hall
    Incheon City Hall is the main administrative and governmental headquarters of the metropolitan city of Incheon, South Korea.
  • E. Daejeon City Hall
    Daejeon City Hall is the main municipal government complex of Daejeon, South Korea, housing the city’s administrative offices and executive leadership.
  • 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: Jinju City Hall
Target entity description: Jinju City Hall is the main municipal government building and administrative center serving the city of Jinju in South Korea.
  • A. Busan Metropolitan City Hall
    Busan Metropolitan City Hall is the main administrative headquarters of the Busan metropolitan government in South Korea.
  • B. Ulsan City Hall
    Ulsan City Hall is the main municipal government building and administrative center serving the city of Ulsan, South Korea.
  • C. Gwangju City Hall
    Gwangju City Hall is the main municipal government building and administrative center of Gwangju, a major city in South Korea.
  • D. Incheon City Hall
    Incheon City Hall is the main administrative and governmental headquarters of the metropolitan city of Incheon, South Korea.
  • E. Daejeon City Hall
    Daejeon City Hall is the main municipal government complex of Daejeon, South Korea, housing the city’s administrative offices and executive leadership.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5de9c008190b8620628fb285e90 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.