Triple
T28296596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Government |
E713584
|
entity |
| Predicate | offersService |
P178
|
FINISHED |
| Object |
Azure Government Top Secret
Azure Government Top Secret is a highly secure, air-gapped cloud environment from Microsoft designed to support classified workloads and sensitive missions for U.S. government agencies and their partners.
|
E713584
|
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: Azure Government Top Secret | Statement: [Azure Government, offersService, Azure Government Top Secret]
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: Azure Government Top Secret Triple: [Azure Government, offersService, Azure Government Top Secret]
Generated description
Azure Government Top Secret is a highly secure, air-gapped cloud environment from Microsoft designed to support classified workloads and sensitive missions for U.S. government agencies and their partners.
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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644ae76e881909c12407afdbb77e4 |
completed | May 2, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a16073162dc8190b442e08f4a17e37b |
completed | May 26, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_6a1613bfd9bc8190a976e350dc9373d7 |
completed | May 26, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1614dc78b48190a1a5d5832b7fa518 |
completed | May 26, 2026, 9:47 p.m. |
Created at: April 27, 2026, 11:32 p.m.