Triple

T17585546
Position Surface form Disambiguated ID Type / Status
Subject E428311 entity
Predicate hasSurnameRomanization P2508 FINISHED
Object Zhu NE NERFINISHED

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: Zhu | Statement: [邾, hasSurnameRomanization, Zhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu
Context triple: [邾, hasSurnameRomanization, Zhu]
  • A. Zhu chosen
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • B. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • C. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • D. Zhou
    Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
  • E. Zheng
    Zheng is the given name of Qin Shi Huang, the first emperor who unified China and founded the Qin dynasty.
  • 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: hasSurnameRomanization
Context triple: [邾, hasSurnameRomanization, Zhu]
  • A. hasRomanizationOf chosen
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • C. hangulNameRomanized
    Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
  • D. hasFormerRomanization
    Indicates that an entity was previously written or represented using an earlier or superseded system of Romanized spelling.
  • E. hasNameInKanji
    Indicates that an entity is associated with a specific written form of its name in Kanji characters.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d113b08190975506f3558c1eca completed April 19, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.