Triple
T14087273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Virtualization Format |
E339028
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | OVF 1.0 |
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 1.0 | Statement: [Open Virtualization Format, hasVersion, OVF 1.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OVF 1.0 Context triple: [Open Virtualization Format, hasVersion, OVF 1.0]
-
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.
oVirt
oVirt is an open-source virtualization management platform that provides enterprise-grade management of virtual machines, hosts, storage, and networks.
-
C.
OVS
OVS is the New York State agency that provides financial assistance, advocacy, and support services to victims of crime.
-
D.
OV-101
OV-101 is the Space Shuttle Enterprise, NASA’s first orbiter used for atmospheric test flights and approach-and-landing trials rather than space missions.
-
E.
ODF 1.1
ODF 1.1 is a version of the OpenDocument Format, an open, XML-based file standard for office documents such as text, spreadsheets, and presentations.
- 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_69fcdefe88b481908b3dca1f019e7809 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.