Triple
T22322721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zope Page Templates |
E551825
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Grok templating |
—
|
NE NERFINISHED |
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: Grok templating | Statement: [Zope Page Templates, influenced, Grok templating]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grok templating Context triple: [Zope Page Templates, influenced, Grok templating]
-
A.
Grok (web framework)
chosen
Grok is a Python-based web framework that emphasizes convention over configuration and rapid development, built on top of the Zope toolkit.
-
B.
Velocity templates
Velocity templates are text-based templates used with the Apache Velocity engine to generate dynamic content, typically for web pages, emails, or code.
-
C.
SimpleTemplate
SimpleTemplate is Bottle’s built-in lightweight templating engine designed for embedding Python code directly into HTML.
-
D.
FreeMarker templates
FreeMarker templates are text-based templates used with the FreeMarker engine to generate dynamic content such as HTML, configuration files, or source code by combining static text with data-driven placeholders and logic.
-
E.
HTML Templates
HTML Templates are a web platform feature that lets developers define inert chunks of HTML markup for later cloning and insertion into the DOM, enabling efficient, reusable UI structures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15765a004819081dcdccbfd0efea7 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.