Triple
T37661010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows 10 IoT Core |
E937716
|
entity |
| Predicate | supportsCloudIntegration |
P92016
|
FINISHED |
| Object |
Microsoft Azure IoT services
Microsoft Azure IoT services is a cloud-based platform that provides tools and infrastructure for connecting, managing, and analyzing data from Internet of Things devices at scale.
|
E2237318
|
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 Azure IoT services | Statement: [Windows 10 IoT Core, supportsCloudIntegration, Microsoft Azure IoT services]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Microsoft Azure IoT services Triple: [Windows 10 IoT Core, supportsCloudIntegration, Microsoft Azure IoT services]
Generated description
Microsoft Azure IoT services is a cloud-based platform that provides tools and infrastructure for connecting, managing, and analyzing data from Internet of Things devices at scale.
Provenance (5 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba9b88ad481908dd3ad28cbf3ff6d |
completed | May 6, 2026, 8:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40ba5ab13081909a232de61d4bb53d |
completed | June 28, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_6a40bb3a43f08190aa4cdb6d1d9e77ef |
completed | June 28, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40bbcb827481909fe164c34f7e13de |
completed | June 28, 2026, 6:14 a.m. |
Created at: May 3, 2026, 4:18 p.m.