Triple

T22749547
Position Surface form Disambiguated ID Type / Status
Subject R211 E562656 entity
Predicate manufacturer P490 FINISHED
Object CRRC 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: CRRC | Statement: [R211, manufacturer, CRRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRRC
Context triple: [R211, manufacturer, CRRC]
  • A. CRRC Corporation chosen
    CRRC Corporation is a Chinese state-owned rolling stock manufacturer and one of the world’s largest producers of railway equipment and trains.
  • B. CRRC Dalian
    CRRC Dalian is a major Chinese manufacturer of locomotives and rolling stock, known for producing diesel and electric trains for domestic and international rail markets.
  • C. CRRC Changchun Railway Vehicles
    CRRC Changchun Railway Vehicles is a major Chinese manufacturer of railway rolling stock, including high-speed trains, metro cars, and other urban rail vehicles.
  • D. CRRC Qingdao Sifang
    CRRC Qingdao Sifang is a major Chinese rolling stock manufacturer best known for designing and producing high-speed trains and urban rail vehicles used across China and in international markets.
  • E. CRRC Nanjing Puzhen
    CRRC Nanjing Puzhen is a major Chinese rolling stock manufacturer known for producing metro and urban rail trains for transit systems in China and abroad.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b822988190b5368ac1f4e1d70a completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.