Triple
T12873195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data Transformation Services |
E307899
|
entity |
| Predicate | languageSupport |
P11734
|
FINISHED |
| Object | VBScript |
E34635
|
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: VBScript | Statement: [Data Transformation Services, languageSupport, VBScript]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VBScript Context triple: [Data Transformation Services, languageSupport, VBScript]
-
A.
VBScript
chosen
VBScript is a lightweight scripting language developed by Microsoft, primarily used for client-side scripting in web pages and for automation in Windows environments.
-
B.
JScript
JScript is Microsoft's dialect of the ECMAScript scripting language, primarily used for client-side scripting in Internet Explorer and for automation tasks in Windows environments.
-
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.
VB
VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
-
E.
VB
VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f87aa48190a7234424a6badef0 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb679f88190a1799b73c3f738b6 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.