Triple

T31992159
Position Surface form Disambiguated ID Type / Status
Subject E816900 entity
Predicate mandarinReading P96842 FINISHED
Object yan1 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: yan1 | Statement: [鄢, mandarinReading, yan1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mandarinReading
Context triple: [鄢, mandarinReading, yan1]
  • A. hasMandarinReading chosen
    Indicates that an entity is associated with a specific reading or pronunciation in Mandarin Chinese.
  • B. mandarinReadingBopomofo
    Indicates the Bopomofo (Zhuyin) phonetic transcription used to represent the Mandarin pronunciation of a given expression or character.
  • C. hasVietnameseReading
    Indicates that an entity is associated with a specific reading or pronunciation in the Vietnamese language.
  • D. mandarinTone
    Indicates the specific tonal pattern in Mandarin Chinese with which an entity (such as a syllable or word) is pronounced.
  • E. readingOf
    Indicates that one entity is an interpretation, measurement, or recorded value derived from another entity.
  • 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_69f348f8002081909a3588758ba94afb completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a7bdb481908d16a32f49e38c2c completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:13 a.m.