Triple
T7934172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft APIs |
E184248
|
entity |
| Predicate | documentedAt |
P4310
|
FINISHED |
| Object | Microsoft Learn |
E700882
|
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: Microsoft Learn | Statement: [Microsoft APIs, documentedAt, Microsoft Learn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Learn Context triple: [Microsoft APIs, documentedAt, Microsoft Learn]
-
A.
Microsoft Learn
chosen
Microsoft Learn is an online training and documentation platform by Microsoft that provides interactive learning paths, modules, and reference content for its technologies and services.
-
B.
Microsoft Viva Learning
Microsoft Viva Learning is a learning experience platform within Microsoft 365 that centralizes training content from various sources to support employee skill development and continuous learning.
-
C.
LinkedIn Learning
LinkedIn Learning is an online educational platform offering video-based courses in business, technology, and creative skills, integrated with LinkedIn for professional development and career growth.
-
D.
Microsoft Docs
Microsoft Docs is Microsoft's official online documentation platform that provides comprehensive technical references, guides, and tutorials for its languages, frameworks, and services.
-
E.
AZ 101
AZ 101 is a segment of Arizona’s Loop 101 freeway, a major beltway serving the Phoenix metropolitan area.
- 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_69cbe019a094819082baecdcb007c84f |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:08 p.m.