Triple
T7897708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angular Material |
E183375
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
MatFormField
MatFormField is an Angular Material component that provides a wrapper for form controls, handling layout, theming, labels, hints, and error messages in a consistent UI.
|
E697576
|
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: MatFormField | Statement: [Angular Material, hasComponent, MatFormField]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MatFormField Context triple: [Angular Material, hasComponent, MatFormField]
-
A.
QForm
QForm is a Quasar Framework component that provides a structured wrapper for handling form validation, submission, and reset behavior in Vue.js applications.
-
B.
LoanMart Field
LoanMart Field is a minor league baseball stadium in Rancho Cucamonga, California, serving as the home ballpark of the Rancho Cucamonga Quakes.
-
C.
TForm
TForm is the fundamental window and dialog class in Delphi's Visual Component Library, serving as the base for creating application user interfaces.
-
D.
WTForms
WTForms is a flexible Python library for creating and validating web forms, commonly used in web frameworks like Flask.
-
E.
Fields
Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
- 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: MatFormField Triple: [Angular Material, hasComponent, MatFormField]
Generated description
MatFormField is an Angular Material component that provides a wrapper for form controls, handling layout, theming, labels, hints, and error messages in a consistent UI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MatFormField Target entity description: MatFormField is an Angular Material component that provides a wrapper for form controls, handling layout, theming, labels, hints, and error messages in a consistent UI.
-
A.
QForm
QForm is a Quasar Framework component that provides a structured wrapper for handling form validation, submission, and reset behavior in Vue.js applications.
-
B.
LoanMart Field
LoanMart Field is a minor league baseball stadium in Rancho Cucamonga, California, serving as the home ballpark of the Rancho Cucamonga Quakes.
-
C.
TForm
TForm is the fundamental window and dialog class in Delphi's Visual Component Library, serving as the base for creating application user interfaces.
-
D.
WTForms
WTForms is a flexible Python library for creating and validating web forms, commonly used in web frameworks like Flask.
-
E.
Fields
Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb24c8c8190860e4dd1d705b04b |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1f864c819086d3a2b04061ead0 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.