Triple

T22310206
Position Surface form Disambiguated ID Type / Status
Subject Jongno Tower E551490 entity
Predicate region P40 FINISHED
Object Jongno District 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: Jongno District | Statement: [Jongno Tower, region, Jongno District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jongno District
Context triple: [Jongno Tower, region, Jongno District]
  • A. Jongno District chosen
    Jongno District is a central historic and administrative area of Seoul, South Korea, known for its government institutions, cultural landmarks, and traditional neighborhoods.
  • B. Dongjak District
    Dongjak District is a residential and administrative district in southern Seoul, South Korea, known for its riverside parks along the Han River and major transportation hubs.
  • C. Seocho District
    Seocho District is a major affluent ward in southern Seoul, South Korea, known for its legal institutions, upscale residential areas, and proximity to the Gangnam business district.
  • D. Gangseo District
    Gangseo District is a western coastal district of Busan, South Korea, known for its industrial complexes, logistics hubs, and proximity to Gimhae International Airport.
  • E. Gangseo District
    Gangseo District is a western administrative district of Seoul, South Korea, known for its residential areas, transportation hubs, and proximity to Gimpo International Airport.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574d53148190a1ec07f849e1ae9d completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.