Triple
T22373930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QLayout |
E553107
|
entity |
| Predicate | commonlyUsedWith |
P3100
|
FINISHED |
| Object |
QPage
QPage is a Quasar Framework layout component used to define the main content area of a page within a QLayout-based application.
|
E1533293
|
NE FINISHED |
How this triple was built (4 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: QPage | Statement: [QLayout, commonlyUsedWith, QPage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QPage Context triple: [QLayout, commonlyUsedWith, QPage]
-
A.
Page
Page is an Australian federal electoral division in New South Wales, named after former Prime Minister Sir Earle Page and encompassing a largely regional and rural area.
-
B.
Page
Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
-
C.
Page
Page is a character in William Shakespeare’s comedy "The Merry Wives of Windsor," depicted as a respectable middle-class husband in the town of Windsor.
-
D.
Canvas Pages
Canvas Pages are customizable content areas within the Canvas learning management system where instructors can create and organize course materials, media, and resources for students.
-
E.
Pages
Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: QPage Triple: [QLayout, commonlyUsedWith, QPage]
Generated description
QPage is a Quasar Framework layout component used to define the main content area of a page within a QLayout-based application.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QPage Target entity description: QPage is a Quasar Framework layout component used to define the main content area of a page within a QLayout-based application.
-
A.
Page
Page is an Australian federal electoral division in New South Wales, named after former Prime Minister Sir Earle Page and encompassing a largely regional and rural area.
-
B.
Page
Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
-
C.
Page
Page is a character in William Shakespeare’s comedy "The Merry Wives of Windsor," depicted as a respectable middle-class husband in the town of Windsor.
-
D.
Canvas Pages
Canvas Pages are customizable content areas within the Canvas learning management system where instructors can create and organize course materials, media, and resources for students.
-
E.
Pages
Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
- F. None of above. chosen
Provenance (5 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15806b534819083716c2b090ede42 |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae06c2a5c8190a6f46e78ac762b58 |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae37d53688190a8e4d17a2333f7ba |
completed | May 18, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae414dd488190ac5dfa2418d9bd8b |
completed | May 18, 2026, 10:04 a.m. |
Created at: April 16, 2026, 8:45 p.m.