Triple

T8525609
Position Surface form Disambiguated ID Type / Status
Subject 북구 E201807 entity
Predicate hasNameInHangul P17869 FINISHED
Object 북구 LITERAL 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: 북구 | Statement: [북구, hasNameInHangul, 북구]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInHangul
Context triple: [북구, hasNameInHangul, 북구]
  • A. nameInKorean chosen
    Indicates that an entity’s name is expressed in the Korean language.
  • B. hasNameInJapanese
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • C. hanjaName
    Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
  • D. hasUnicodeName
    Indicates that an entity is associated with a specific official Unicode name assigned to a character or symbol.
  • E. hasJavaneseName
    Indicates that an entity possesses a name expressed in the Javanese language.
  • F. None of above.

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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6463fe48190b6d3482212356be1 completed March 31, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cbd10f64b4819080859057c19e58f0 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:16 p.m.