Triple

T6421688
Position Surface form Disambiguated ID Type / Status
Subject Dongfeng Liuzhou Motor E127957 entity
Predicate alternativeName P39 FINISHED
Object DFLZM
DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
 E591990 NE FINISHED

How this triple was built (4 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, alternativeName, DFLZM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DFLZM
Context triple: [Dongfeng Liuzhou Motor, alternativeName, DFLZM]
  • A. DFL
    DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
  • B. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • C. FLK
    FLK is the ISO 3166-1 alpha-3 country code for the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • D. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • E. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DFLZM
Triple: [Dongfeng Liuzhou Motor, alternativeName, DFLZM]
Generated description
DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DFLZM
Target entity description: DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
  • A. DFL
    DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
  • B. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • C. FLK
    FLK is the ISO 3166-1 alpha-3 country code for the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • D. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • E. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • F. None of above. chosen

Provenance (5 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06903f67c8190a1e5babeede4e183 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d8f7548190a8e0433df56b77f3 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c64142633c819094c3bbdabd8f7951 completed March 27, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69c641c3d3188190bcf6bede4c90dc9d completed March 27, 2026, 8:37 a.m.
Created at: March 22, 2026, 4:43 p.m.