Triple

T6894875
Position Surface form Disambiguated ID Type / Status
Subject JW Library E159145 entity
Predicate platform P1292 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: [JW Library, platform, Microsoft Store]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microsoft Store
Context triple: [JW Library, platform, 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. Samsung Galaxy Store
    Samsung Galaxy Store is Samsung’s official app marketplace for Galaxy devices, offering apps, games, themes, and other digital content tailored to its Android smartphones and tablets.
  • E. Nokia Store
    Nokia Store was Nokia's official digital distribution platform for mobile apps, games, and content for its smartphones and feature phones.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d933032c8190997d67a15897619b completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748db2bd48190bb26f60c58ec8229 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:24 p.m.