Triple

T17428085
Position Surface form Disambiguated ID Type / Status
Subject Defense Courier Service E423793 entity
Predicate abbreviation P43 FINISHED
Object DCS 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: DCS | Statement: [Defense Courier Service, abbreviation, DCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCS
Context triple: [Defense Courier Service, abbreviation, DCS]
  • A. DCS
    DCS is the government department in South Africa responsible for managing the country’s correctional facilities and overseeing the rehabilitation and incarceration of offenders.
  • B. DCS
    DCS is the Indiana state agency responsible for protecting children from abuse and neglect and overseeing child welfare and related family support services.
  • C. DCS chosen
    DCS is the acronym for the U.S. Department of State’s Diplomatic Courier Service, which securely transports classified and sensitive diplomatic materials worldwide.
  • D. DCS Sheffield
    DCS Sheffield is the Department of Computer Science at the University of Sheffield, a UK academic unit focused on teaching and research in computing and related fields.
  • E. DCS, G-2
    DCS, G-2 is the U.S. Army staff element responsible for overseeing military intelligence, security, and related policy at the headquarters level.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fdc1348190985db52c8c74c394 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.