Triple
T5767790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XML technology stack |
E127255
|
entity |
| Predicate | includesStandard |
P19701
|
FINISHED |
| Object | XML Namespaces |
E24280
|
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: XML Namespaces | Statement: [XML technology stack, includesStandard, XML Namespaces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XML Namespaces Context triple: [XML technology stack, includesStandard, XML Namespaces]
-
A.
XML Namespaces
chosen
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.
-
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 Base
XML Base is a W3C specification that defines a way to establish base URIs in XML documents so that relative URIs can be resolved consistently.
-
D.
XML Schema
XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
-
E.
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.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029731adc8190888adc8178a08e90 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098062d2c8190a7ccddc1017e19e5 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:49 p.m.