Triple
T21990150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XML Base |
E543060
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | XML Infoset |
—
|
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 Infoset | Statement: [XML Base, relatedTo, XML Infoset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XML Infoset Context triple: [XML Base, relatedTo, XML Infoset]
-
A.
XML Infoset
chosen
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.
-
B.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
C.
XML Schema
XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
-
D.
StAX
StAX (Streaming API for XML) is a Java-based pull-parsing API that enables efficient, forward-only, stream-oriented processing of XML documents.
-
E.
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.
- 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.