Triple

T17006756
Position Surface form Disambiguated ID Type / Status
Subject Cheom E412589 entity
Predicate hasHanjaCharacter P27905 FINISHED
Object E87686 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: 詹 | Statement: [Cheom, hasHanjaCharacter, 詹]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 詹
Context triple: [Cheom, hasHanjaCharacter, 詹]
  • A. chosen
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • B. Jianmin
    Jianmin is a Chinese given name commonly used for men and borne by various notable figures, including diplomats, politicians, and academics.
  • C. Zhu Jun
    Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
  • D. Zu Jia
    Zu Jia was a king of the Shang dynasty in ancient China, known for his reign following the influential ruler Wu Ding and for efforts to consolidate royal authority.
  • E.
    芝 is a district in Tokyo’s Minato Ward known for its mix of business areas, historic temples, and proximity to landmarks like Tokyo Tower.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHanjaCharacter
Context triple: [Cheom, hasHanjaCharacter, 詹]
  • A. usesHanjaVariants
    Indicates that one entity employs or incorporates alternative Hanja (Chinese character) forms corresponding to another entity.
  • B. hasTraditionalCharacter
    Indicates that an entity is associated with or represented by a traditional (non-simplified or historically established) written character form.
  • C. hanjaName chosen
    Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
  • D. hasJapaneseText
    Indicates that an entity contains or is associated with text written in the Japanese language.
  • E. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3831268819089286053a5acf653 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc222d108190934ef2b3aa46aa22 completed May 10, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.