Triple

T3738941
Position Surface form Disambiguated ID Type / Status
Subject Didi Chuxing E79652 entity
Predicate resultOfMerger P15102 FINISHED
Object Didi Kuaidi E79652 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: Didi Kuaidi | Statement: [Didi Chuxing, resultOfMerger, Didi Kuaidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Didi Kuaidi
Context triple: [Didi Chuxing, resultOfMerger, Didi Kuaidi]
  • A. Didi Chuxing chosen
    Didi Chuxing is a major Chinese ride-hailing and mobility technology company offering app-based transportation, taxi, and related services across numerous cities in China and abroad.
  • B. Yikatong
    Yikatong is Beijing’s contactless smart card system used for paying fares on public transportation and other city services.
  • C. Paipai
    Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
  • D. Xintiandi
    Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • E. Dubbo
    Dubbo is a regional city in New South Wales, Australia, known as an important agricultural, commercial, and transport hub in the central-west of the state.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.