Triple
T7934161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft APIs |
E184248
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Visual Studio Services APIs |
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 Services APIs | Statement: [Microsoft APIs, includes, Visual Studio Services APIs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visual Studio Services APIs Context triple: [Microsoft APIs, includes, Visual Studio Services APIs]
-
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.
TeamCity
TeamCity is a commercial continuous integration and build management server developed by JetBrains, used to automate building, testing, and deploying software projects.
-
C.
TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
-
D.
TFS
TFS is the Texas A&M Forest Service, a state agency that manages and protects Texas’s forests and related natural resources.
-
E.
Bitbucket
Bitbucket is a web-based platform for hosting Git repositories that provides source code management, collaboration tools, and integration with development workflows.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aeb132c8190bea4906aaf51b869 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0791e48190af18299c22f6a804 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.