Triple

T5767348
Position Surface form Disambiguated ID Type / Status
Subject XPath E127246 entity
Predicate usedWith P4791 FINISHED
Object XPointer
XPointer is a W3C specification that extends XPath to allow precise addressing and linking to specific parts or fragments within XML documents.
E543047 NE FINISHED

How this triple was built (4 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: [XPath, usedWith, XPointer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XPointer
Context triple: [XPath, usedWith, XPointer]
  • A. XPath
    XPath is a query language used to navigate and select nodes in XML documents based on their structure and content.
  • B. XLink
    XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
  • C. XQuery
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • D. XPath 2.0
    XPath 2.0 is an enhanced version of the XML path language that adds richer data types, functions, and expression capabilities for querying and manipulating XML documents.
  • E. XDM (XQuery and XPath Data Model)
    XDM (XQuery and XPath Data Model) is the formal, abstract data model that defines the types and structures of data processed by XQuery and XPath expressions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: XPointer
Triple: [XPath, usedWith, XPointer]
Generated description
XPointer is a W3C specification that extends XPath to allow precise addressing and linking to specific parts or fragments within XML documents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: XPointer
Target entity description: XPointer is a W3C specification that extends XPath to allow precise addressing and linking to specific parts or fragments within XML documents.
  • A. XPath
    XPath is a query language used to navigate and select nodes in XML documents based on their structure and content.
  • B. XLink
    XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
  • C. XQuery
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • D. XPath 2.0
    XPath 2.0 is an enhanced version of the XML path language that adds richer data types, functions, and expression capabilities for querying and manipulating XML documents.
  • E. XDM (XQuery and XPath Data Model)
    XDM (XQuery and XPath Data Model) is the formal, abstract data model that defines the types and structures of data processed by XQuery and XPath expressions.
  • F. None of above. chosen

Provenance (5 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_69c07e5d8c8c819081067de808ac1b56 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08bce3e808190af4e2f0e8591b2de completed March 23, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69c08c6d1a788190acb7651a1f144d9d completed March 23, 2026, 12:42 a.m.
Created at: March 22, 2026, 3:49 p.m.