Triple

T7091257
Position Surface form Disambiguated ID Type / Status
Subject Dover Priory railway station E165198 entity
Predicate hasStationCode P1289 FINISHED
Object DVP
DVP is the National Rail station code for Dover Priory railway station in Dover, Kent, England.
 E640627 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: DVP | Statement: [Dover Priory railway station, hasStationCode, DVP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DVP
Context triple: [Dover Priory railway station, hasStationCode, DVP]
  • A. DVC
    DVC is the official abbreviation for Disney Vacation Club, a vacation ownership program operated by Disney that offers members points-based stays at Disney resorts and affiliated properties.
  • B. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • C. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • D. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • E. DNVP
    DNVP was a nationalist, conservative political party in the Weimar Republic that opposed democracy and later cooperated with the Nazi movement.
  • 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: DVP
Triple: [Dover Priory railway station, hasStationCode, DVP]
Generated description
DVP is the National Rail station code for Dover Priory railway station in Dover, Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DVP
Target entity description: DVP is the National Rail station code for Dover Priory railway station in Dover, Kent, England.
  • A. DVC
    DVC is the official abbreviation for Disney Vacation Club, a vacation ownership program operated by Disney that offers members points-based stays at Disney resorts and affiliated properties.
  • B. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • C. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • D. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • E. DNVP
    DNVP was a nationalist, conservative political party in the Weimar Republic that opposed democracy and later cooperated with the Nazi movement.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e53132288190b6da361d9c7218ab completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7948cb3d48190993134d709924e3d completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7962ec0bc8190a9223ebb245d0914 completed March 28, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69c79709ed808190a9f09f5350ba2ffd completed March 28, 2026, 8:53 a.m.
Created at: March 27, 2026, 2:41 p.m.