Triple

T20984845
Position Surface form Disambiguated ID Type / Status
Subject Dame Rachel de Souza E516866 entity
Predicate honorificSuffix P341 FINISHED
Object DBE 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: DBE | Statement: [Dame Rachel de Souza, honorificSuffix, DBE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DBE
Context triple: [Dame Rachel de Souza, honorificSuffix, DBE]
  • A. DBE chosen
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • B. DBO
    DBO is the IATA airport code for Dubbo City Regional Airport, a regional aviation hub serving Dubbo and the surrounding area in New South Wales, Australia.
  • C. DBBB
    DBBB is the ICAO airport code for Cadjehoun Airport, the main international airport serving Cotonou, Benin.
  • D. DBM
    DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
  • E. DBB
    DBB is the German Basketball Federation, the national governing body responsible for organizing and overseeing basketball activities and competitions in Germany.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe218748190a987b9f922d9be1b completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:48 p.m.