Triple

T31665570
Position Surface form Disambiguated ID Type / Status
Subject Party Foundation Day E808114 entity
Predicate languageNameKo P154473 FINISHED
Object 조선로동당 창건일
조선로동당 창건일은 북한에서 조선로동당의 창건을 기념하는 주요 국가 기념일이다.
 E1970736 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: 조선로동당 창건일 | Statement: [Party Foundation Day, languageNameKo, 조선로동당 창건일]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 조선로동당 창건일
Triple: [Party Foundation Day, languageNameKo, 조선로동당 창건일]
Generated description
조선로동당 창건일은 북한에서 조선로동당의 창건을 기념하는 주요 국가 기념일이다.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: languageNameKo
Context triple: [Party Foundation Day, languageNameKo, 조선로동당 창건일]
  • A. languageName
    Indicates the specific name assigned to a language in the relationship.
  • B. languageOfKoreanName chosen
    Indicates that the specified language is the language in which the given Korean name is expressed or written.
  • C. nameInKorean
    Indicates that an entity’s name is expressed in the Korean language.
  • D. languageOfWorkOrName
    Indicates the language in which a work is created or a name is expressed.
  • E. languageNameInTurkish
    Indicates that the predicate specifies the name of a given language as it is written or spoken in Turkish.
  • F. None of above.

Provenance (6 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_69f348dbeef4819080b446a7feb6340b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69ff956dc6548190979171d4b4068d47 completed May 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79ee83f081909fd5ce49a5e717ff completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7ad82acc8190abb3d91b02dd8524 completed June 12, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b84ec00819086a25d9ff017a6b1 completed June 12, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69ff93dc39c481908a97a12c3ef7dfe7 completed May 9, 2026, 8:06 p.m.
Created at: April 30, 2026, 10:59 p.m.