Triple
T9899170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure DevOps |
E182243
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Visual Studio Team Services |
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 Team Services | Statement: [Azure DevOps, formerName, Visual Studio Team Services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visual Studio Team Services Context triple: [Azure DevOps, formerName, Visual Studio Team Services]
-
A.
Azure DevOps
chosen
Azure DevOps is Microsoft's cloud-based suite of development tools and services for planning, building, testing, and delivering software collaboratively.
-
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.
TeamCity
TeamCity is a commercial continuous integration and build management server developed by JetBrains, used to automate building, testing, and deploying software projects.
-
E.
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.
- 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_69d1eb1b9534819093c5150f1ed8f685 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.