Triple

T2105098
Position Surface form Disambiguated ID Type / Status
Subject Windows 7 E37174 entity
Predicate introducedFeature P513 FINISHED
Object Aero Peek E193864 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: Aero Peek | Statement: [Windows 7, introducedFeature, Aero Peek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aero Peek
Context triple: [Windows 7, introducedFeature, Aero Peek]
  • A. Aero Peek chosen
    Aero Peek is a Windows desktop feature that lets users quickly preview and access open windows and the desktop by making other windows temporarily transparent.
  • B. Aero
    Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
  • C. Aero Snap
    Aero Snap is a Windows desktop feature that lets users quickly resize and arrange application windows by dragging them to the edges or corners of the screen.
  • D. AeroGaviota
    AeroGaviota is a Cuban airline that primarily serves domestic and tourist-oriented routes, often connecting major hubs like Havana with resort and regional destinations across the country.
  • E. Ramport Aero
    Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306bee8881908c62306fb1f6aea1 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.