Triple

T8419158
Position Surface form Disambiguated ID Type / Status
Subject Device Enterprise Communication E198803 entity
Predicate abbreviation P43 FINISHED
Object DEC E198803 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: DEC | Statement: [Device Enterprise Communication, abbreviation, DEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DEC
Context triple: [Device Enterprise Communication, abbreviation, DEC]
  • A. DEC
    DEC was the stock ticker symbol for Digital Equipment Corporation, a pioneering American computer company known for its influential minicomputers and contributions to the development of modern computing.
  • B. DEC
    DEC is the New York State agency responsible for conserving, improving, and protecting the state's natural resources and environment.
  • C. DEC chosen
    DEC is a shortened form commonly used to refer to Device Enterprise Communication.
  • D. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • E. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c7d6e48190a2bbde89c5d42af6 completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03476b288190b3df8f9f4d502ea8 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.