Triple

T8525613
Position Surface form Disambiguated ID Type / Status
Subject 북구 E201807 entity
Predicate usedAsDistrictNameIn P50586 FINISHED
Object 부산광역시 E4279 NE FINISHED

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: 부산광역시 | Statement: [북구, usedAsDistrictNameIn, 부산광역시]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 부산광역시
Context triple: [북구, usedAsDistrictNameIn, 부산광역시]
  • A. Busan metropolitan area
    The Busan metropolitan area is a major South Korean urban and economic hub centered on the port city of Busan, known for its extensive transportation links, coastal location, and role as a key gateway for international trade.
  • B. Incheon
    Incheon is a major port city in northwestern South Korea, known for its international airport and role as a key transportation and economic hub.
  • C. Busan chosen
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • D. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • E. Changwon
    Changwon is a major industrial and administrative city in South Gyeongsang Province, South Korea, known for its planned urban layout and role as a regional government and manufacturing hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usedAsDistrictNameIn
Context triple: [북구, usedAsDistrictNameIn, 부산광역시]
  • A. usedAsCountyNameUntil
    Indicates that an entity served as the official name of a county up to a specified point in time.
  • B. usedAsTownNameUntil
    Indicates that an entity served as the official or common name of a town up to a specified point in time.
  • C. appliedInDistrict
    Indicates that an application or action was submitted or carried out within a specific administrative district.
  • D. createdAsDistrict chosen
    Indicates that an entity was formally established or designated as a district.
  • E. formerDistrictNameSharedWith
    Indicates that two entities once belonged to districts that had the same name in the past.
  • F. None of above.

Provenance (4 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6463fe48190b6d3482212356be1 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e975d7c8190a7a1fc25c1d67a6f completed April 2, 2026, 11:10 a.m.
PD Predicate disambiguation batch_69cbd10f64b4819080859057c19e58f0 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:16 p.m.