Triple

T108247
Position Surface form Disambiguated ID Type / Status
Subject Drug Enforcement Administration E2185 entity
Predicate abbreviation P43 FINISHED
Object DEA E2185 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: DEA | Statement: [Drug Enforcement Administration, abbreviation, DEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DEA
Context triple: [Drug Enforcement Administration, abbreviation, DEA]
  • A. DESE
    DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
  • B. DCA
    DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
  • C. DCA
    DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
  • D. NDAC
    NDAC is a dedicated handshake signal line in the IEEE 488 (GPIB) interface used by devices to indicate that they have not yet accepted data.
  • E. Drug Enforcement Administration chosen
    The Drug Enforcement Administration is a United States federal law enforcement agency responsible for combating drug trafficking and distribution and enforcing the nation’s controlled substances laws.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256ccce548190a7b20d999a6c8df1 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e81aa48190827b634822e25058 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.