Triple
T8289800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aero Peek |
E193864
|
entity |
| Predicate | relatedFeature |
P37
|
FINISHED |
| Object | Aero Snap |
E193865
|
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 Snap | Statement: [Aero Peek, relatedFeature, Aero Snap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aero Snap Context triple: [Aero Peek, relatedFeature, Aero Snap]
-
A.
Aero Snap
chosen
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.
-
B.
Adobe Aero
Adobe Aero is an augmented reality authoring and viewing application from Adobe that lets users create interactive AR experiences without coding.
-
C.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
-
D.
Aero Peek
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.
-
E.
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.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c99fdd48190a3f304237be609a0 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68916c5481908c42f259298b0670 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.