Triple
T21989990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XSL-FO |
E543057
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | XSL family |
—
|
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: XSL family | Statement: [XSL-FO, partOf, XSL family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XSL family Context triple: [XSL-FO, partOf, XSL family]
-
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.
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
XSL-FO is an XML-based markup language used to format and render documents, typically transforming XML data into paginated outputs like PDF.
-
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 (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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.