Triple
T2175372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSSSL |
E48513
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | XSLT |
E24281
|
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: XSLT | Statement: [DSSSL, influenced, XSLT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XSLT Context triple: [DSSSL, influenced, XSLT]
-
A.
XSLT
chosen
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
-
B.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
C.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
D.
XHTML
XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
-
E.
DSSSL
DSSSL (Document Style Semantics and Specification Language) is an ISO standard language used to define stylesheets and transformations for SGML documents, particularly in technical publishing.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbece30888190936853740ff6cb02 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae653b6ae48190ab5c7e6bf2dcfa6f |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.