Triple

T31274748
Position Surface form Disambiguated ID Type / Status
Subject Baegunsan E797484 entity
Predicate nameWrittenInKorean P77948 FINISHED
Object 백운산
백운산은 대한민국 여러 지역에 걸쳐 있는 산 이름으로, 수려한 자연 경관과 등산 코스로 잘 알려져 있다.
 E1959002 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: 백운산 | Statement: [Baegunsan, nameWrittenInKorean, 백운산]
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: 백운산
Triple: [Baegunsan, nameWrittenInKorean, 백운산]
Generated description
백운산은 대한민국 여러 지역에 걸쳐 있는 산 이름으로, 수려한 자연 경관과 등산 코스로 잘 알려져 있다.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameWrittenInKorean
Context triple: [Baegunsan, nameWrittenInKorean, 백운산]
  • A. nameInKorean
    Indicates that an entity’s name is expressed in the Korean language.
  • B. nameWrittenIn chosen
    Indicates that an entity’s name is written or recorded using a specified language, script, or writing system.
  • C. writingSystemNameInKorean
    Indicates that the predicate specifies the name of a writing system as expressed in the Korean language.
  • D. languageOfKoreanName
    Indicates that the specified language is the language in which the given Korean name is expressed or written.
  • E. nameInMcCuneReischauer
    Indicates that an entity’s name is represented using the McCune–Reischauer romanization system.
  • 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_69f224de2bbc819081af6c32e1d857b9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a72013fd081908d8c23fa15052c3c completed June 11, 2026, 8:29 a.m.
NEDg Description generation batch_6a2a729237148190ae28589b9a1665d7 completed June 11, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a2a9e880bb48190875742fff1c69701 completed June 11, 2026, 11:39 a.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:13 p.m.