Triple

T22193656
Position Surface form Disambiguated ID Type / Status
Subject UN DPO E548493 entity
Predicate shortName P43 FINISHED
Object DPO 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: DPO | Statement: [UN DPO, shortName, DPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPO
Context triple: [UN DPO, shortName, DPO]
  • A. DPO
    DPO is the IATA airport code for Devonport Airport in Tasmania, Australia.
  • B. DOP
    DOP is a scholarly journal focused on Byzantine studies and related fields, published by Dumbarton Oaks Research Library and Collection.
  • C. DOP
    DOP is the common abbreviation for the Daughters of Penelope, a women’s organization affiliated with the American Hellenic Educational Progressive Association that promotes Hellenic ideals, philanthropy, and civic responsibility.
  • D. DOP
    DOP is the ISO 4217 currency code for the Dominican peso, the official monetary unit of the Dominican Republic.
  • E. UN DPO chosen
    The UN Department of Peace Operations (UN DPO) is the United Nations body responsible for planning, managing, and supporting peacekeeping and related field missions around the world.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae552908190b38c3d765bcfb68a completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.