Triple

T23350415
Position Surface form Disambiguated ID Type / Status
Subject Dongfeng Motor Corporation E591989 entity
Predicate alias P39 FINISHED
Object DFM
DFM is a major Chinese state-owned automobile manufacturer known for producing a wide range of commercial and passenger vehicles.
E1583316 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: DFM | Statement: [Dongfeng Motor Corporation, alias, DFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFM
Context triple: [Dongfeng Motor Corporation, alias, DFM]
  • A. DFM
    DFM is the main stock exchange in Dubai, United Arab Emirates, where shares of local and regional companies are traded.
  • B. DFMS
    DFMS is the commonly used acronym for the Domestic and Foreign Missionary Society, the corporate and legal entity that carries out the mission work and administrative functions of The Episcopal Church in the United States and abroad.
  • C. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • D. DF
    DF is the commonly used abbreviation for the Danish People’s Party, a right-wing populist and nationalist political party in Denmark.
  • E. DFE
    DFE is the National Rail station code for Dunfermline Town railway station in Fife, Scotland.
  • 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: DFM
Triple: [Dongfeng Motor Corporation, alias, DFM]
Generated description
DFM is a major Chinese state-owned automobile manufacturer known for producing a wide range of commercial and passenger vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DFM
Target entity description: DFM is a major Chinese state-owned automobile manufacturer known for producing a wide range of commercial and passenger vehicles.
  • A. DFM
    DFM is the main stock exchange in Dubai, United Arab Emirates, where shares of local and regional companies are traded.
  • B. DFMS
    DFMS is the commonly used acronym for the Domestic and Foreign Missionary Society, the corporate and legal entity that carries out the mission work and administrative functions of The Episcopal Church in the United States and abroad.
  • C. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • D. DF
    DF is the commonly used abbreviation for the Danish People’s Party, a right-wing populist and nationalist political party in Denmark.
  • E. DFE
    DFE is the National Rail station code for Dunfermline Town railway station in Fife, Scotland.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a132da08190b30de610d34c96cc completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcc2fec819095f0457c311c25b6 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f0188388190a76923ea497f1b04 completed May 19, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5fd0c4e88190901c08e6c969e7ac completed May 19, 2026, 1:04 p.m.
Created at: April 17, 2026, 5:19 p.m.