Triple

T6688028
Position Surface form Disambiguated ID Type / Status
Subject Bomunsan E152148 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Daejeon Metropolitan City E28250 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: Daejeon Metropolitan City | Statement: [Bomunsan, locatedInAdministrativeTerritory, Daejeon Metropolitan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daejeon Metropolitan City
Context triple: [Bomunsan, locatedInAdministrativeTerritory, Daejeon Metropolitan City]
  • A. Daejeon chosen
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • B. Sejong City
    Sejong City is South Korea’s planned administrative capital, designed to house numerous government ministries and ease congestion in Seoul.
  • C. 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.
  • D. Dongducheon
    Dongducheon is a city in northern South Korea known for its proximity to the Demilitarized Zone and the presence of U.S. military bases.
  • E. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14e58708190a4ba8ff1c085f160 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca53f2b0b8819090ca8ee3721a9867 completed March 30, 2026, 10:44 a.m.
Created at: March 27, 2026, 2:04 p.m.