Triple
T10330475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 10179 |
E242858
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | XSL |
E543057
|
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: XSL | Statement: [ISO/IEC 10179, influenced, XSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XSL Context triple: [ISO/IEC 10179, influenced, XSL]
-
A.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
-
B.
XSLC
XSLC is a major Chinese spaceport in Sichuan province used primarily for launching satellites into geostationary orbit.
-
C.
xalan
Xalan is an Apache project that provides an XSLT processor for transforming XML documents.
-
D.
XSL-FO
chosen
XSL-FO is an XML-based markup language used to format and render documents, typically transforming XML data into paginated outputs like PDF.
-
E.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dbc7df48190b8a11a92f946fd30 |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.