Triple

T14087231
Position Surface form Disambiguated ID Type / Status
Subject Open Virtualization Format E339028 entity
Predicate abbreviation P43 FINISHED
Object OVF E339028 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: OVF | Statement: [Open Virtualization Format, abbreviation, OVF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OVF
Context triple: [Open Virtualization Format, abbreviation, OVF]
  • A. Open Virtualization Format chosen
    Open Virtualization Format is an open standard for packaging and distributing virtual appliances and virtual machines across different virtualization platforms.
  • B. OVS
    OVS is the New York State agency that provides financial assistance, advocacy, and support services to victims of crime.
  • C. OVDAS
    OVDAS is a Chilean volcanic monitoring and surveillance agency responsible for observing and assessing volcanic activity across the country.
  • D. ODF
    ODF (OpenDocument Format) is an open, XML-based file format standard for office documents such as text, spreadsheets, and presentations, widely used as an alternative to proprietary formats.
  • E. ODF
    ODF is the state agency responsible for managing Oregon’s forest resources, including wildfire protection, forest health, and sustainable timber management.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee1ce88819091c983286289337e completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.