Triple

T12019050
Position Surface form Disambiguated ID Type / Status
Subject DRNA E286099 entity
Predicate abbreviation P43 FINISHED
Object DRNA E286099 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: DRNA | Statement: [DRNA, abbreviation, DRNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DRNA
Context triple: [DRNA, abbreviation, DRNA]
  • A. DRNA chosen
    DRNA is the commonly used acronym for Puerto Rico’s Department of Natural and Environmental Resources, the government agency responsible for managing and protecting the island’s natural resources and environment.
  • B. ODNA
    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.
  • C. DNAA
    DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
  • D. ADN
    ADN is a European treaty that sets safety and environmental regulations for transporting dangerous goods on inland waterways.
  • E. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.