Triple

T2536363
Position Surface form Disambiguated ID Type / Status
Subject Policy and Mediation Division E56277 entity
Predicate partOf P40 FINISHED
Object UN DPPA E56276 NE FINISHED

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: UN DPPA | Statement: [Policy and Mediation Division, partOf, UN DPPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UN DPPA
Context triple: [Policy and Mediation Division, partOf, UN DPPA]
  • A. DPPA chosen
    DPPA is the United Nations department responsible for conflict prevention, peacemaking, and supporting political and peacebuilding efforts worldwide.
  • B. DPA
    DPA is the FAA location identifier for DuPage Airport, a general aviation airport serving the western suburbs of Chicago, Illinois.
  • C. DPR
    DPR is the commonly used abbreviation for Indonesia’s national legislature, the People's Representative Council.
  • D. DPR
    DPR is the government agency responsible for managing and operating public parks, recreational facilities, and community programs in Washington, D.C.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2965fe08190a4aedaf636076241 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf858cc81908d6a7ef5315119aa completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.