Triple

T22493775
Position Surface form Disambiguated ID Type / Status
Subject Device Provisioning Protocol E556085 entity
Predicate hasAbbreviation P43 FINISHED
Object DPP NE NERFINISHED

How this triple was built (2 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: [Device Provisioning Protocol, hasAbbreviation, DPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPP
Context triple: [Device Provisioning Protocol, 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 is the abbreviation for Dyfed–Powys Police, the territorial police force serving the counties of Dyfed and Powys in Wales.
  • E. DPP chosen
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb0dfb88190a4175e5e95d7ad4b completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:49 p.m.