Triple
T8220376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Aero |
E192042
|
entity |
| Predicate | includesComponent |
P1393
|
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 Aero, includesComponent, Aero Peek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aero Peek Context triple: [Windows Aero, includesComponent, 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.
AeroLogic
AeroLogic is a German cargo airline operating long-haul freight services, primarily on behalf of DHL and Lufthansa Cargo.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77c782a8819086019ab6bac05749 |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccee01ed9c819086bfc35e89f7bad8 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:45 p.m.