Triple

T12058685
Position Surface form Disambiguated ID Type / Status
Subject Ravensthorpe railway station E287108 entity
Predicate hasStationCode P1289 FINISHED
Object RVN
RVN is the National Rail station code for Ravensthorpe railway station in West Yorkshire, England.
E962033 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: RVN | Statement: [Ravensthorpe railway station, hasStationCode, RVN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RVN
Context triple: [Ravensthorpe railway station, hasStationCode, RVN]
  • A. RVN
    RVN is the IATA airport code for Rovaniemi Airport, the main air gateway to Rovaniemi in Finnish Lapland.
  • B. RVC
    RVC is the station code for Rockville Centre station on the Long Island Rail Road in New York.
  • C. RNVR
    RNVR is the abbreviation for the Royal Naval Volunteer Reserve, a former volunteer reserve force of the British Royal Navy composed of civilian sailors and officers.
  • D. RVRC
    RVRC is a residential college at the National University of Singapore that focuses on experiential learning and community living.
  • E. RVD
    RVD is the ring name of Rob Van Dam, a high-flying, innovative professional wrestler best known for his time in ECW and WWE.
  • 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: RVN
Triple: [Ravensthorpe railway station, hasStationCode, RVN]
Generated description
RVN is the National Rail station code for Ravensthorpe railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RVN
Target entity description: RVN is the National Rail station code for Ravensthorpe railway station in West Yorkshire, England.
  • A. RVN
    RVN is the IATA airport code for Rovaniemi Airport, the main air gateway to Rovaniemi in Finnish Lapland.
  • B. RVC
    RVC is the station code for Rockville Centre station on the Long Island Rail Road in New York.
  • C. RNVR
    RNVR is the abbreviation for the Royal Naval Volunteer Reserve, a former volunteer reserve force of the British Royal Navy composed of civilian sailors and officers.
  • D. RVRC
    RVRC is a residential college at the National University of Singapore that focuses on experiential learning and community living.
  • E. RVD
    RVD is the ring name of Rob Van Dam, a high-flying, innovative professional wrestler best known for his time in ECW and WWE.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49df216bc8190933e08f495f4d22f completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d96c3f08190847ba49929b7628f completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.