Triple
T21989789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XML Infoset |
E543052
|
entity |
| Predicate | usedAsFoundationFor |
P7051
|
FINISHED |
| Object | XPointer |
—
|
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: XPointer | Statement: [XML Infoset, usedAsFoundationFor, XPointer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XPointer Context triple: [XML Infoset, usedAsFoundationFor, XPointer]
-
A.
XPointer
chosen
XPointer is a W3C specification that extends XPath to allow precise addressing and linking to specific parts or fragments within XML documents.
-
B.
XPath
XPath is a query language used to navigate and select nodes in XML documents based on their structure and content.
-
C.
XPath 3.1
XPath 3.1 is a version of the XML Path Language that extends earlier editions with features like maps, arrays, and higher-order functions for more powerful querying and transformation of XML and related data.
-
D.
XLink
XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
-
E.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
- 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.