Triple

T16115146
Position Surface form Disambiguated ID Type / Status
Subject Direction de la circulation ferroviaire E390983 entity
Predicate hasAbbreviation P43 FINISHED
Object DCF
DCF is the French railway traffic management authority responsible for overseeing and regulating train circulation on the national rail network.
 E1194026 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: DCF | Statement: [Direction de la circulation ferroviaire, hasAbbreviation, DCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DCF
Context triple: [Direction de la circulation ferroviaire, hasAbbreviation, DCF]
  • A. DCF
    DCF is the Massachusetts state agency responsible for protecting children from abuse and neglect and supporting families through child welfare services.
  • B. FD
    FD is the vehicle registration code used for motor vehicles registered in the city and district of Fulda in Germany.
  • C. FD
    FD is the IATA airline designator used for Thai AirAsia, a major low-cost carrier based in Thailand.
  • D. CFDC
    CFDC is the former name of Telefilm Canada, the federal cultural agency that supports and promotes the Canadian audiovisual industry.
  • E. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • 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: DCF
Triple: [Direction de la circulation ferroviaire, hasAbbreviation, DCF]
Generated description
DCF is the French railway traffic management authority responsible for overseeing and regulating train circulation on the national rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DCF
Target entity description: DCF is the French railway traffic management authority responsible for overseeing and regulating train circulation on the national rail network.
  • A. DCF
    DCF is the Massachusetts state agency responsible for protecting children from abuse and neglect and supporting families through child welfare services.
  • B. FD
    FD is the vehicle registration code used for motor vehicles registered in the city and district of Fulda in Germany.
  • C. FD
    FD is the IATA airline designator used for Thai AirAsia, a major low-cost carrier based in Thailand.
  • D. CFDC
    CFDC is the former name of Telefilm Canada, the federal cultural agency that supports and promotes the Canadian audiovisual industry.
  • E. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016a9dd48190bca3f58778ed865f completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffebab779c8190b466c26f4024aa31 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec4898088190bed531e33418c7e5 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffecce96508190a53f100e3207ebac completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 5 a.m.