Triple

T18145482
Position Surface form Disambiguated ID Type / Status
Subject Yodel E434376 entity
Predicate hasCompetitor P1375 FINISHED
Object DPD 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: DPD | Statement: [Yodel, hasCompetitor, DPD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPD
Context triple: [Yodel, hasCompetitor, DPD]
  • A. DPD
    DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
  • B. DPD
    DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
  • C. DPDgroup chosen
    DPDgroup is a major international parcel delivery and logistics company operating across Europe and beyond under brands such as DPD, Chronopost, and SEUR.
  • D. DPO
    DPO is the IATA airport code for Devonport Airport in Tasmania, Australia.
  • E. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de33921c8190b6f645ca63fd146b completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.