Triple

T12250645
Position Surface form Disambiguated ID Type / Status
Subject Keydets E291960 entity
Predicate abbreviation P43 FINISHED
Object VMI E60381 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: VMI | Statement: [Keydets, abbreviation, VMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VMI
Context triple: [Keydets, abbreviation, VMI]
  • A. VMI chosen
    VMI is a public military college in Lexington, Virginia, known for its rigorous academic and military training programs.
  • B. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • C. VMW
    VMW is the stock ticker symbol for VMware, Inc., a leading provider of virtualization and cloud computing software and services.
  • D. VMU
    The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
  • E. VSM
    VSM is the station code for Valley Stream station on the Long Island Rail Road in New York.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.