Triple

T4100733
Position Surface form Disambiguated ID Type / Status
Subject DDR&E E87932 entity
Predicate abbreviation P43 FINISHED
Object DDR&E E87932 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: DDR&E | Statement: [DDR&E, abbreviation, DDR&E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DDR&E
Context triple: [DDR&E, abbreviation, DDR&E]
  • A. DDR&E chosen
    DDR&E is the acronym for the U.S. Department of Defense’s Office of the Director of Defense Research and Engineering, which oversees and guides defense-related scientific research and technology development.
  • B. D.N.D.
    D.N.D. is the standard legal abbreviation for the United States District Court for the District of North Dakota, a federal trial court within the Eighth Circuit.
  • C. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • D. DD
    DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • E. DD
    DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0ed168819093c83ba079d6725c completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7833b081909bf5a87ee709b49f completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.