Triple

T10959012
Position Surface form Disambiguated ID Type / Status
Subject Ng E258916 entity
Predicate hasMandarinReading P96842 FINISHED
Object E66200 NE FINISHED

How this triple was built (3 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: Wú | Statement: [Ng, hasMandarinReading, Wú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wú
Context triple: [Ng, hasMandarinReading, Wú]
  • A. Wu chosen
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • E. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMandarinReading
Context triple: [Ng, hasMandarinReading, Wú]
  • A. mandarinReadingBopomofo
    Indicates the Bopomofo (Zhuyin) phonetic transcription used to represent the Mandarin pronunciation of a given expression or character.
  • B. hasVariantReadingsWith
    Indicates a relationship where two textual items are linked because they exhibit differing or alternative readings of (typically) the same underlying content.
  • C. hasChineseVersion
    Indicates that an entity has a corresponding version or representation available in Chinese.
  • D. hasMultipleChineseCharacters
    Indicates that the referenced item consists of more than one Chinese character.
  • E. containsReading
    Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
  • F. None of above. chosen

Provenance (5 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77127b10481908ad1efafb2a338d1 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3449113f08190b83ffbf1b4c46518 completed April 18, 2026, 8:45 a.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
PDg Predicate description generation batch_69d7322370648190ba14cdd6fb4cdcb0 completed April 9, 2026, 4:59 a.m.
Created at: April 8, 2026, 9:23 p.m.