Triple

T32385370
Position Surface form Disambiguated ID Type / Status
Subject 小篆 E827531 entity
Predicate 在书法史上的地位 P16613 FINISHED
Object 秦代标准字体 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: 秦代标准字体 | Statement: [小篆, 在书法史上的地位, 秦代标准字体]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 在书法史上的地位
Context triple: [小篆, 在书法史上的地位, 秦代标准字体]
  • A. hasArtHistoricalSignificance chosen
    Indicates that something holds notable importance or influence within the context of art history.
  • B. hasArtisticReputation
    Indicates that an entity is recognized or regarded for its artistic skill, contribution, or standing.
  • C. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • D. hasHistoricalWritingInfluenceFrom
    Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
  • E. artisticLineage
    Indicates a relationship where artistic style, influence, or mentorship is passed from one creator or tradition to another.
  • 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_69f349184e7481909c6c54428cb9cf12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1cf2aa081909f4c0b8f0cad1907 completed May 3, 2026, 3:32 a.m.
PD Predicate disambiguation batch_69f6ba6eb32c8190bf405b2011fa48f7 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:51 a.m.