Triple
T3421598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VFP floating-point extension |
E72125
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | VFPv4-D16 |
E72125
|
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: VFPv4-D16 | Statement: [VFP floating-point extension, hasVersion, VFPv4-D16]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VFPv4-D16 Context triple: [VFP floating-point extension, hasVersion, VFPv4-D16]
-
A.
VFP floating-point extension
chosen
The VFP floating-point extension is an ARM architecture coprocessor feature that provides hardware support for high-performance single- and double-precision floating-point arithmetic.
-
B.
V4
V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
-
C.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
D.
VSS Unity
VSS Unity is Virgin Galactic’s suborbital spaceplane designed for commercial space tourism flights.
-
E.
VisualWorks
VisualWorks is a prominent commercial implementation of the Smalltalk programming language, known for its powerful development environment and cross-platform capabilities.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb950f65481908c4aad15516e7a7c |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb7335ac81908b8e31dc7fb3d273 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:15 p.m.