Triple

T5680251
Position Surface form Disambiguated ID Type / Status
Subject Qi E125181 entity
Predicate VietnameseReading P31478 FINISHED
Object khí 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: khí | Statement: [Qi, VietnameseReading, khí]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: VietnameseReading
Context triple: [Qi, VietnameseReading, khí]
  • A. VietnameseObjective
    Indicates that an entity serves as the goal, target, or object of an action or intention specifically related to Vietnam or the Vietnamese language, culture, or context.
  • B. titleInVietnamese chosen
    Indicates that one entity is the title of another entity expressed in the Vietnamese language.
  • C. koreanReadingHangul
    Indicates that an entity’s Korean reading is represented in Hangul script.
  • D. mandarinReadingBopomofo
    Indicates the Bopomofo (Zhuyin) phonetic transcription used to represent the Mandarin pronunciation of a given expression or character.
  • E. VietnameseLeader
    Indicates that an entity holds or has held a leadership position or governing authority over Vietnam.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69c021bc3894819084f37d14ba4b2644 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:44 p.m.