Triple
T22814456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows 10 Mobile |
E565063
|
entity |
| Predicate | includedStore |
P1393
|
FINISHED |
| Object | Microsoft Store |
—
|
NE NERFINISHED |
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 Store | Statement: [Windows 10 Mobile, includedStore, Microsoft Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Store Context triple: [Windows 10 Mobile, includedStore, Microsoft Store]
-
A.
Microsoft Store
chosen
Microsoft Store is Microsoft's official digital distribution platform for apps, games, and other content on Windows devices.
-
B.
Windows Marketplace for Mobile
Windows Marketplace for Mobile was Microsoft’s official app store platform for discovering, purchasing, and downloading applications on Windows Mobile devices.
-
C.
Xbox Store
Xbox Store is Microsoft’s digital marketplace for purchasing and downloading games, apps, and other content for Xbox consoles and related platforms.
-
D.
Google Store
The Google Store is Google's official online retail platform for purchasing its hardware products and related accessories.
-
E.
Microsoft Start
Microsoft Start is a personalized news and content aggregation service from Microsoft that curates articles, videos, and other information from various sources across its apps and platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d62b0ec8190ac22909192e8a876 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:33 p.m.