Triple

T15551437
Position Surface form Disambiguated ID Type / Status
Subject Budapest tram network E370752 entity
Predicate usesRollingStock P5426 FINISHED
Object Ganz CSMG
Ganz CSMG is a type of Hungarian-built tramcar that has long served as a key component of Budapest’s urban tram fleet.
 E1163582 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: Ganz CSMG | Statement: [Budapest tram network, usesRollingStock, Ganz CSMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ganz CSMG
Context triple: [Budapest tram network, usesRollingStock, Ganz CSMG]
  • A. CSM
    CSM is the Italian High Council of the Judiciary, the constitutional body that oversees the independence, careers, and discipline of judges and public prosecutors in Italy.
  • B. CSM
    CSM is the abbreviation for the College of Science and Mathematics at California State University, Fresno, which offers undergraduate and graduate programs in the natural and mathematical sciences.
  • C. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • D. CSM
    CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
  • E. GCGM
    GCGM is the ICAO airport code for La Gomera Airport, a regional airport serving the island of La Gomera in Spain’s Canary Islands.
  • 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: Ganz CSMG
Triple: [Budapest tram network, usesRollingStock, Ganz CSMG]
Generated description
Ganz CSMG is a type of Hungarian-built tramcar that has long served as a key component of Budapest’s urban tram fleet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ganz CSMG
Target entity description: Ganz CSMG is a type of Hungarian-built tramcar that has long served as a key component of Budapest’s urban tram fleet.
  • A. CSM
    CSM is the Italian High Council of the Judiciary, the constitutional body that oversees the independence, careers, and discipline of judges and public prosecutors in Italy.
  • B. CSM
    CSM is the abbreviation for the College of Science and Mathematics at California State University, Fresno, which offers undergraduate and graduate programs in the natural and mathematical sciences.
  • C. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • D. CSM
    CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
  • E. GCGM
    GCGM is the ICAO airport code for La Gomera Airport, a regional airport serving the island of La Gomera in Spain’s Canary Islands.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff47aa0bb081908f67e9dae9bc7b27 completed May 9, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff480d81b881908eb3a51f1e7280b0 completed May 9, 2026, 2:43 p.m.
Created at: April 10, 2026, 4:08 a.m.