Triple
T9899171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure DevOps |
E182243
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Visual Studio Online |
E182243
|
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: Visual Studio Online | Statement: [Azure DevOps, formerName, Visual Studio Online]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visual Studio Online Context triple: [Azure DevOps, formerName, Visual Studio Online]
-
A.
Visual Studio
Visual Studio is Microsoft's integrated development environment (IDE) used for building, debugging, and deploying applications across Windows, web, cloud, and mobile platforms.
-
B.
TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
-
C.
TFS
TFS is the Texas A&M Forest Service, a state agency that manages and protects Texas’s forests and related natural resources.
-
D.
Azure DevOps
chosen
Azure DevOps is Microsoft's cloud-based suite of development tools and services for planning, building, testing, and delivering software collaboratively.
-
E.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4adc03481909e0f657db01e5bab |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d92624c81909f5a8af8703ead09 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:40 p.m.