Triple

T19675743
Position Surface form Disambiguated ID Type / Status
Subject wooden Nio (Agyō and Ungyō) E472447 entity
Predicate depicts P1581 FINISHED
Object Nio 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: Nio | Statement: [wooden Nio (Agyō and Ungyō), depicts, Nio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nio
Context triple: [wooden Nio (Agyō and Ungyō), depicts, Nio]
  • A. Nio chosen
    Nio are fierce Buddhist guardian deities commonly depicted as muscular, wrathful figures protecting temple gates in East Asian religious art and architecture.
  • B. Nio
    Nio is a Chinese electric vehicle manufacturer known for its premium smart EVs and battery-swapping technology.
  • C. NIO
    NIO is a Chinese electric vehicle manufacturer known for its premium smart EVs and innovative battery-swapping technology.
  • D. Nivola
    Nivola is an Italian surname most notably associated with the Sardinian-born sculptor and designer Costantino Nivola.
  • E. Niohuru
    Niohuru was a prominent Manchu noblewoman who became Empress Xiaoshengxian, the respected mother of the Qianlong Emperor in the Qing dynasty.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bbea8c8190b0ad841d95068e0e completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.