Triple

T21118911
Position Surface form Disambiguated ID Type / Status
Subject Dorking Deepdene railway station E520372 entity
Predicate stationCode P1289 FINISHED
Object DPD
DPD is the three-letter National Rail station code assigned to Dorking Deepdene railway station in Surrey, England.
E1467990 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: DPD | Statement: [Dorking Deepdene railway station, stationCode, DPD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPD
Context triple: [Dorking Deepdene railway station, stationCode, DPD]
  • A. DPD
    DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
  • B. DPD
    DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
  • C. DPDgroup
    DPDgroup is a major international parcel delivery and logistics company operating across Europe and beyond under brands such as DPD, Chronopost, and SEUR.
  • D. DPO
    DPO is the IATA airport code for Devonport Airport in Tasmania, Australia.
  • E. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • 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: DPD
Triple: [Dorking Deepdene railway station, stationCode, DPD]
Generated description
DPD is the three-letter National Rail station code assigned to Dorking Deepdene railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DPD
Target entity description: DPD is the three-letter National Rail station code assigned to Dorking Deepdene railway station in Surrey, England.
  • A. DPD
    DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
  • B. DPD
    DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
  • C. DPDgroup
    DPDgroup is a major international parcel delivery and logistics company operating across Europe and beyond under brands such as DPD, Chronopost, and SEUR.
  • D. DPO
    DPO is the IATA airport code for Devonport Airport in Tasmania, Australia.
  • E. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223176c48190bfbaea41c2209a15 completed April 21, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e7c4e88190acf4e6d4402ccbb0 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a09670987f0819086b021581db69c85 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0967cefab08190b01e2c897f081105 completed May 17, 2026, 7:01 a.m.
Created at: April 16, 2026, 2:55 p.m.