Triple

T8525631
Position Surface form Disambiguated ID Type / Status
Subject 북구 E201807 entity
Predicate typicalEnglishRendering P56633 FINISHED
Object Buk-gu unclear NED1 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: Buk-gu | Statement: [북구, typicalEnglishRendering, Buk-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buk-gu
Context triple: [북구, typicalEnglishRendering, Buk-gu]
  • A. Buk-gu
    Buk-gu is a northern administrative district of Daegu, South Korea, known for its residential neighborhoods, educational institutions, and commercial areas.
  • B. Buk-gu
    Buk-gu is a northern district of Busan, South Korea, known as an urban residential and commercial area within the metropolitan city.
  • C. Buk-gu
    Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
  • D. Donggureung
    Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
  • E. Taebong
    Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalEnglishRendering
Context triple: [북구, typicalEnglishRendering, Buk-gu]
  • A. EnglishObjective
    Indicates that an entity has English language proficiency or achievement as a goal or target to be attained.
  • B. EnglishRole
    Indicates that one entity serves a particular role or function within the context of the English language for another entity.
  • C. EnglishVersionFeature
    Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
  • D. typicalLanguageUse
    Indicates that one entity is the language most commonly or habitually used by another entity in ordinary communication or contexts.
  • E. hasTypicalSpelling chosen
    Indicates that one form is the standard or commonly accepted spelling of another form.
  • 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_69cea84a8a5081909bdcc066e2ba09a4 completed April 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69cbd10f64b4819080859057c19e58f0 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:16 p.m.