Triple

T15832259
Position Surface form Disambiguated ID Type / Status
Subject Xiaoju Technology E383899 entity
Predicate alsoKnownAs P39 FINISHED
Object Xiaoju Kuaizhi Inc. E383901 NE 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: Xiaoju Kuaizhi Inc. | Statement: [Xiaoju Technology, alsoKnownAs, Xiaoju Kuaizhi Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaoju Kuaizhi Inc.
Context triple: [Xiaoju Technology, alsoKnownAs, Xiaoju Kuaizhi Inc.]
  • A. Xiaoju Kuaizhi Inc. chosen
    Xiaoju Kuaizhi Inc. is the Chinese technology company that operates and controls the ride-hailing platform Didi Chuxing.
  • B. Xiaoju Technology
    Xiaoju Technology is the former corporate name of Didi Chuxing, the Chinese ride-hailing and mobility technology company.
  • C. Kuaiji
    Kuaiji was an important ancient Chinese city in what is now Shaoxing, Zhejiang, historically known as a political and cultural center in the Yue region.
  • D. Whizz Kid Entertainment
    Whizz Kid Entertainment is a British television production company known for creating reality and entertainment formats, including the dating show "Ex on the Beach."
  • E. Qintex Entertainment
    Qintex Entertainment was an Australian-based media and entertainment company active in the 1980s, involved in television production and distribution, including major miniseries and international co-productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e653e388190a4696cdb22546715 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.