Triple
T15291783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symposium (Plato) |
E365544
|
entity |
| Predicate | discussesConcept |
P531
|
FINISHED |
| Object | Forms |
E712311
|
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: Forms | Statement: [Symposium (Plato), discussesConcept, Forms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forms Context triple: [Symposium (Plato), discussesConcept, Forms]
-
A.
Forms
chosen
Forms are the eternal, unchanging, and perfect intelligible realities that, in Plato’s philosophy, ground the being and knowledge of all particular things.
-
B.
Form
Form is Symfony’s form component, providing a structured, extensible system for building, processing, and validating web forms in PHP applications.
-
C.
Zoho Forms
Zoho Forms is an online form builder and data collection tool that lets users create, share, and manage forms and surveys with integrated workflows and analytics.
-
D.
QForm
QForm is a Quasar Framework component that provides a structured wrapper for handling form validation, submission, and reset behavior in Vue.js applications.
-
E.
Typeform
Typeform is an online platform for creating interactive, conversational forms, surveys, and quizzes that emphasize user-friendly design and engagement.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.