Triple
T955991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Store |
E20626
|
entity |
| Predicate | notableCompetitor |
P11706
|
FINISHED |
| Object | Microsoft Store |
E37356
|
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 Store | Statement: [App Store, notableCompetitor, Microsoft Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Store Context triple: [App Store, notableCompetitor, 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.
Google Play Store
Google Play Store is Google's official digital marketplace where users download and update Android apps, games, and other content.
-
C.
Amazon Appstore
Amazon Appstore is a digital distribution platform for mobile apps and games, primarily for Android devices and Amazon’s Fire tablets.
-
D.
Chrome Web Store
The Chrome Web Store is Google's official online marketplace for discovering, installing, and managing extensions, themes, and web apps for the Chrome browser.
-
E.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933b00a58819084164f3dd3ecb070 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:40 p.m.