Triple

T23350455
Position Surface form Disambiguated ID Type / Status
Subject Dongfeng Liuzhou Motor E591990 entity
Predicate abbreviation P43 FINISHED
Object DFLZM 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: DFLZM | Statement: [Dongfeng Liuzhou Motor, abbreviation, DFLZM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFLZM
Context triple: [Dongfeng Liuzhou Motor, abbreviation, DFLZM]
  • A. DFLZM chosen
    DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
  • B. DFL
    DFL is the commonly used abbreviation for the Minnesota Democratic–Farmer–Labor Party, the Minnesota affiliate of the U.S. Democratic Party.
  • C. DFL
    DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
  • D. DFL
    DFL is the station code used to identify Flöha railway station in Germany’s rail network.
  • E. FZAG
    FZAG is the ICAO airport code for Muanda Airport in the Democratic Republic of the Congo.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a132da08190b30de610d34c96cc completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:19 p.m.