Triple
T12389846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Viva Learning |
E295960
|
entity |
| Predicate | accessMethod |
P5872
|
FINISHED |
| Object | Teams app |
E5699
|
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: Teams app | Statement: [Microsoft Viva Learning, accessMethod, Teams app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teams app Context triple: [Microsoft Viva Learning, accessMethod, Teams app]
-
A.
Teams
chosen
Teams is Microsoft's cloud-based collaboration and communication platform that integrates chat, video meetings, file sharing, and app integrations for organizations.
-
B.
TD app
TD app is a mobile trading and account management application offered by TD Direct Investing for buying, selling, and monitoring investments.
-
C.
TeamSystem
TeamSystem is an Italian software company specializing in business management and accounting solutions for small and medium-sized enterprises.
-
D.
Zoho Cliq
Zoho Cliq is a team communication and collaboration platform offering real-time messaging, channels, and integrations for workplace productivity.
-
E.
Yammer
Yammer is an enterprise social networking service that enables employees within an organization to communicate, collaborate, and share information in a secure, Facebook-like environment.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fcf6aa8819080c9a2407a72db2e |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63479df38819085c5ca791c460d5e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.