Triple
T21989569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XPointer |
E543047
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | XML Pointer Language |
—
|
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: XML Pointer Language | Statement: [XPointer, fullName, XML Pointer Language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XML Pointer Language Context triple: [XPointer, fullName, XML Pointer Language]
-
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.
JSON Pointer
JSON Pointer is a standardized syntax for identifying and referencing specific values within a JSON document using string-based paths.
-
C.
XML Namespaces
XML Namespaces is a W3C specification that provides a method for qualifying element and attribute names in XML documents to avoid naming conflicts between vocabularies.
-
D.
XML Infoset
XML Infoset is a formal abstract model that defines the information content of an XML document independently of its textual representation, serving as a foundation for many XML-related technologies.
-
E.
XLink
XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
- 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.