Triple

T13905842
Position Surface form Disambiguated ID Type / Status
Subject Reddish North E334348 entity
Predicate hasStationCode P1289 FINISHED
Object RDN
RDN is the National Rail station code for Reddish North railway station in Greater Manchester, England.
 E1067688 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: RDN | Statement: [Reddish North, hasStationCode, RDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RDN
Context triple: [Reddish North, hasStationCode, RDN]
  • A. RDN
    RDN is the commonly used abbreviation for the Regional District of Nanaimo, a local government administrative area on Vancouver Island in British Columbia, Canada.
  • B. RDH
    RDH is the National Rail station code for Redhill railway station in Surrey, England.
  • C. RdR
    RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
  • D. Dietes
    Dietes is a small genus of evergreen, rhizomatous flowering plants commonly known as fortnight lilies or African irises, cultivated for their iris-like blooms and hardiness in ornamental gardens.
  • E. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • 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: RDN
Triple: [Reddish North, hasStationCode, RDN]
Generated description
RDN is the National Rail station code for Reddish North railway station in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RDN
Target entity description: RDN is the National Rail station code for Reddish North railway station in Greater Manchester, England.
  • A. RDN
    RDN is the commonly used abbreviation for the Regional District of Nanaimo, a local government administrative area on Vancouver Island in British Columbia, Canada.
  • B. RDH
    RDH is the National Rail station code for Redhill railway station in Surrey, England.
  • C. RdR
    RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
  • D. Dietes
    Dietes is a small genus of evergreen, rhizomatous flowering plants commonly known as fortnight lilies or African irises, cultivated for their iris-like blooms and hardiness in ornamental gardens.
  • E. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25dc26cc8190a7909980b1d34933 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c724c6188190ae0c2784c3b48a12 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:16 p.m.