Triple

T1933022
Position Surface form Disambiguated ID Type / Status
Subject IBM WebSphere DataPower E40987 entity
Predicate supportsStandard P1587 FINISHED
Object XQuery E24282 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: XQuery | Statement: [IBM WebSphere DataPower, supportsStandard, XQuery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XQuery
Context triple: [IBM WebSphere DataPower, supportsStandard, XQuery]
  • A. XQuery chosen
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • B. XQuery Scripting Extension
    XQuery Scripting Extension is an enhancement to the XQuery language that adds scripting capabilities such as variables, loops, and side-effecting operations to support more procedural and application-oriented use cases.
  • C. XQuery Update Facility
    XQuery Update Facility is a W3C-defined extension to the XQuery language that adds syntax and semantics for modifying XML data, including inserting, deleting, and updating nodes in XML documents.
  • D. 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.
  • E. JSONiq
    JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb299f3c48190a5021d320ded4405 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.