Triple

T22924823
Position Surface form Disambiguated ID Type / Status
Subject Liguo E569273 entity
Predicate writingSystem P454 FINISHED
Object Chinese characters NE NERFINISHED

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: Chinese characters | Statement: [Liguo, writingSystem, Chinese characters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinese characters
Context triple: [Liguo, writingSystem, Chinese characters]
  • A. Chinese characters chosen
    Chinese characters are logographic symbols used for writing the Chinese language and several other East Asian languages, each typically representing a morpheme or meaningful unit.
  • B. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • C. Chinese calligraphy
    Chinese calligraphy is a traditional East Asian art form that uses brush and ink to create expressive, aesthetically refined Chinese characters, reflecting deep cultural, philosophical, and historical values.
  • D. Hanja
    Hanja is the set of traditional Chinese characters historically used to write Korean, especially for proper names, academic terms, and classical texts.
  • E. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d84fc08190b747c3f9052c657a completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.