Triple

T22197204
Position Surface form Disambiguated ID Type / Status
Subject XPath 3.1 E548578 entity
Predicate extends P1244 FINISHED
Object XPath 2.0 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: XPath 2.0 | Statement: [XPath 3.1, extends, XPath 2.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XPath 2.0
Context triple: [XPath 3.1, extends, XPath 2.0]
  • A. XPath 2.0 chosen
    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.
  • B. XPath 3.0
    XPath 3.0 is a version of the XML Path Language that extends earlier XPath standards with richer expressions, functions, and data types for querying and transforming XML and related data.
  • 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. XQuery
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • E. XPath
    XPath is a query language used to navigate and select nodes in XML documents based on their structure and content.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae7c72081909b7817d66391bef4 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.