Triple
T3418395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Ant |
E72062
|
entity |
| Predicate | supportsTask |
P15794
|
FINISHED |
| Object |
xalan
Xalan is an Apache project that provides an XSLT processor for transforming XML documents.
|
E358048
|
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: xalan | Statement: [Apache Ant, supportsTask, xalan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: xalan Context triple: [Apache Ant, supportsTask, xalan]
-
A.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
-
B.
DSSSL
DSSSL (Document Style Semantics and Specification Language) is an ISO standard language used to define stylesheets and transformations for SGML documents, particularly in technical publishing.
-
C.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
D.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
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: xalan Triple: [Apache Ant, supportsTask, xalan]
Generated description
Xalan is an Apache project that provides an XSLT processor for transforming XML documents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: xalan Target entity description: Xalan is an Apache project that provides an XSLT processor for transforming XML documents.
-
A.
XSLT
XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
-
B.
DSSSL
DSSSL (Document Style Semantics and Specification Language) is an ISO standard language used to define stylesheets and transformations for SGML documents, particularly in technical publishing.
-
C.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
D.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92df1e48190bbf22a47e44579f1 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3546e710c8190a6b9523b77f6c893 |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b3584f321c8190841a96be2a6713e1 |
completed | March 13, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3591b7bc88190825dcd306541ae03 |
completed | March 13, 2026, 12:23 a.m. |
Created at: March 8, 2026, 3:15 p.m.