Triple

T20098038
Position Surface form Disambiguated ID Type / Status
Subject Gyeongung Palace E496456 entity
Predicate near P350 FINISHED
Object Seoul City Hall 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: Seoul City Hall | Statement: [Gyeongung Palace, near, Seoul City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul City Hall
Context triple: [Gyeongung Palace, near, Seoul City Hall]
  • A. Seoul City Hall chosen
    Seoul City Hall is the main administrative headquarters of the Seoul Metropolitan Government, located in the heart of South Korea’s capital city.
  • B. Seoul Metropolitan Council building
    The Seoul Metropolitan Council building is the official headquarters of the city’s legislative body, where ordinances and policies for Seoul are debated and enacted.
  • C. Incheon City Hall
    Incheon City Hall is the main administrative and governmental headquarters of the metropolitan city of Incheon, South Korea.
  • D. National Assembly Building, Seoul
    The National Assembly Building in Seoul is the iconic domed parliamentary complex on Yeouido Island that houses South Korea’s unicameral legislature.
  • E. Gwangju City Hall
    Gwangju City Hall is the main municipal government building and administrative center of Gwangju, a major city in South Korea.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.