Triple
T7546544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbania |
E178417
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | VB |
E359127
|
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: VB | Statement: [Verbania, vehicleRegistrationCode, VB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VB Context triple: [Verbania, vehicleRegistrationCode, VB]
-
A.
VB
VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
-
B.
VB
chosen
VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
-
C.
Visual Basic
Visual Basic is an event-driven programming language and integrated development environment (IDE) from Microsoft, widely used for building Windows applications with a relatively simple, BASIC-derived syntax.
-
D.
Visual Basic .NET
Visual Basic .NET is an object-oriented programming language developed by Microsoft for the .NET framework, designed to be easy to learn and tightly integrated with Windows application development.
-
E.
VBA
VBA is the commonly used abbreviation for the U.S. Department of Veterans Affairs’ Veterans Benefits Administration, which oversees and delivers a wide range of benefits to military veterans and their families.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f2662f881909f65c936be9eab56 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.