Triple
T21989899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XDM |
E543055
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
XProc
XProc is an XML-based language for defining and executing pipelines that process XML documents through a series of modular steps.
|
E1511412
|
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: XProc | Statement: [XDM, usedBy, XProc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XProc Context triple: [XDM, usedBy, XProc]
-
A.
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.
-
B.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
C.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
-
D.
xmltask
xmltask is an Apache Ant extension task used to manipulate and transform XML files within Ant build scripts.
-
E.
xalan
Xalan is an Apache project that provides an XSLT processor for transforming XML documents.
- 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: XProc Triple: [XDM, usedBy, XProc]
Generated description
XProc is an XML-based language for defining and executing pipelines that process XML documents through a series of modular steps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XProc Target entity description: XProc is an XML-based language for defining and executing pipelines that process XML documents through a series of modular steps.
-
A.
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.
-
B.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
C.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
-
D.
xmltask
xmltask is an Apache Ant extension task used to manipulate and transform XML files within Ant build scripts.
-
E.
xalan
Xalan is an Apache project that provides an XSLT processor for transforming XML documents.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d81c92481909a58757f929f904c |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee682a88190b8d4c1392b337fa1 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:05 p.m.