Triple

T18639384
Position Surface form Disambiguated ID Type / Status
Subject Office of the Director of Net Assessment E455641 entity
Predicate abbreviation P43 FINISHED
Object ODNA 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: ODNA | Statement: [Office of the Director of Net Assessment, abbreviation, ODNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ODNA
Context triple: [Office of the Director of Net Assessment, abbreviation, ODNA]
  • A. ODNA chosen
    ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
  • B. DNKA
    DNKA is the ICAO airport code for Kaduna International Airport in Kaduna, Nigeria.
  • C. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • D. DNAA
    DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
  • E. ADN
    ADN is a European treaty that sets safety and environmental regulations for transporting dangerous goods on inland waterways.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fcbe3088190849f60b09d1e7e4b completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.