Triple

T14914012
Position Surface form Disambiguated ID Type / Status
Subject Defense Attache Service E371336 entity
Predicate abbreviation P43 FINISHED
Object DAS E371336 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: DAS | Statement: [Defense Attache Service, abbreviation, DAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAS
Context triple: [Defense Attache Service, abbreviation, DAS]
  • A. DAS chosen
    DAS is the acronym for the Defense Attache Service, the U.S. military organization that manages defense attachés and military diplomatic representation at American embassies worldwide.
  • B. DAS
    DAS is the central administrative agency of the State of Oregon responsible for providing government support services such as budgeting, human resources, and procurement.
  • C. DASA
    DASA (Deutsche Aerospace AG) was a major German aerospace and defense company that became a core component of the later European aerospace giant Airbus Group.
  • D. DAB
    DAB is a senior-level U.S. Department of Defense committee that reviews and approves major defense acquisition programs and policies.
  • E. DAB
    DAB is the three-letter IATA airport code for Daytona Beach International Airport in Daytona Beach, Florida.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61f1d488190995f847f84d72cdc completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72bd18148190ab28744678c22993 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:27 a.m.