Triple

T18886604
Position Surface form Disambiguated ID Type / Status
Subject Dyfed–Powys Police E461972 entity
Predicate hasAbbreviation P43 FINISHED
Object DPP
DPP is the abbreviation for Dyfed–Powys Police, the territorial police force serving the counties of Dyfed and Powys in Wales.
 E1348994 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: DPP | Statement: [Dyfed–Powys Police, hasAbbreviation, DPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DPP
Context triple: [Dyfed–Powys Police, hasAbbreviation, DPP]
  • A. DPP
    DPP is a centrist political party in Japan known for advocating moderate economic reforms and pragmatic policy positions.
  • B. DPP
    DPP is the main public transport operator in Prague, responsible for running the city’s metro, trams, and buses.
  • 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. DPP
    DPP is a major political party in Taiwan known for its generally pro-independence stance and advocacy of progressive, democratic reforms.
  • 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: DPP
Triple: [Dyfed–Powys Police, hasAbbreviation, DPP]
Generated description
DPP is the abbreviation for Dyfed–Powys Police, the territorial police force serving the counties of Dyfed and Powys in Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DPP
Target entity description: DPP is the abbreviation for Dyfed–Powys Police, the territorial police force serving the counties of Dyfed and Powys in Wales.
  • A. 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.
  • B. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • C. DPP
    DPP is a centrist political party in Japan known for advocating moderate economic reforms and pragmatic policy positions.
  • D. DPP
    DPP is a major political party in Taiwan known for its generally pro-independence stance and advocacy of progressive, democratic reforms.
  • E. DPP
    DPP is the main public transport operator in Prague, responsible for running the city’s metro, trams, and buses.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582b37de881908475c69461c15c8f completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a05887693d081908fa60534c3c36144 completed May 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05891f4a248190a5527a939fcb16da completed May 14, 2026, 8:34 a.m.
Created at: April 10, 2026, 11:58 a.m.