Triple

T13435131
Position Surface form Disambiguated ID Type / Status
Subject Cromford railway station E320209 entity
Predicate hasStationCode P1289 FINISHED
Object CMF
CMF is the National Rail station code for Cromford railway station in Derbyshire, England.
E1041674 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: CMF | Statement: [Cromford railway station, hasStationCode, CMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMF
Context triple: [Cromford railway station, hasStationCode, CMF]
  • A. CMF
    CMF is the abbreviated name for the Ministerial Conference of La Francophonie, a key governing body within the international Francophone organization.
  • B. CMF
    CMF is the commonly used abbreviation for the Claretian Missionaries, a Roman Catholic religious congregation founded by Saint Anthony Mary Claret dedicated to evangelization, education, and social justice worldwide.
  • C. CMF
    CMF is the IATA airport code for Chambéry Airport, a regional airport in southeastern France serving the Savoie area and nearby Alpine ski destinations.
  • D. CMF
    CMF is Chile’s financial market commission, the government regulator overseeing the country’s banking, securities, and insurance sectors.
  • E. CMF
    CMF is a multinational naval partnership that coordinates maritime security and counter-piracy operations across key international waterways.
  • 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: CMF
Triple: [Cromford railway station, hasStationCode, CMF]
Generated description
CMF is the National Rail station code for Cromford railway station in Derbyshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CMF
Target entity description: CMF is the National Rail station code for Cromford railway station in Derbyshire, England.
  • A. CMF
    CMF is the commonly used abbreviation for the Claretian Missionaries, a Roman Catholic religious congregation founded by Saint Anthony Mary Claret dedicated to evangelization, education, and social justice worldwide.
  • B. CMF
    CMF is the abbreviated name for the Ministerial Conference of La Francophonie, a key governing body within the international Francophone organization.
  • C. CMF
    CMF is Chile’s financial market commission, the government regulator overseeing the country’s banking, securities, and insurance sectors.
  • D. CMF
    CMF is a multinational naval partnership that coordinates maritime security and counter-piracy operations across key international waterways.
  • E. CMF
    CMF is the IATA airport code for Chambéry Airport, a regional airport in southeastern France serving the Savoie area and nearby Alpine ski destinations.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee29fec81908b07b4fca2922242 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739902d148190ac14ac66f1f9512f completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73d6051e48190a39e8de98bfb839a completed May 3, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69f7411fbb9481908f0106b01f2583bf completed May 3, 2026, 12:35 p.m.
Created at: April 9, 2026, 9:40 p.m.