Triple

T22568831
Position Surface form Disambiguated ID Type / Status
Subject Avalokiteśvara E558025 entity
Predicate KoreanName P17869 FINISHED
Object Gwan-eum 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: Gwan-eum | Statement: [Avalokiteśvara, KoreanName, Gwan-eum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwan-eum
Context triple: [Avalokiteśvara, KoreanName, Gwan-eum]
  • A. Gwan-eum chosen
    Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
  • B. Gwan Gyeong
    Gwan Gyeong was a historical Korean scholar-official known for helping compile the Samguk Sagi, one of the oldest surviving chronicles of Korea’s Three Kingdoms period.
  • C. Hwangje
    Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
  • D. Junggyeong
    Junggyeong was one of the principal capital cities of the Balhae kingdom, serving as a key political and administrative center in Northeast Asia during the early medieval period.
  • E. Gugyeol
    Gugyeol is a traditional Korean annotation system used to aid the reading and interpretation of Classical Chinese texts by marking Korean grammatical cues.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fac7db08190ba4660535571498d completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.