Triple
T10330293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DITA |
E242854
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | DITA XML Schemas |
E242854
|
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: DITA XML Schemas | Statement: [DITA, hasComponent, DITA XML Schemas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DITA XML Schemas Context triple: [DITA, hasComponent, DITA XML Schemas]
-
A.
DITA
chosen
DITA (Darwin Information Typing Architecture) is an XML-based standard for authoring, structuring, and publishing modular technical documentation.
-
B.
ISO/IEC 19757 (Document Schema Definition Languages, DSDL)
ISO/IEC 19757 (Document Schema Definition Languages, DSDL) is a multi-part international standard that defines a modular framework of languages and mechanisms for validating and describing the structure and semantics of XML documents.
-
C.
XML Schema
XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
-
D.
Schematron
Schematron is a rule-based XML schema language that uses XPath expressions to define and validate complex structural and business constraints in XML documents.
-
E.
DocBook
DocBook is a semantic markup language, originally based on SGML and now commonly used in XML form, designed for authoring and publishing technical documentation and books in a platform-independent way.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dbc7df48190b8a11a92f946fd30 |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.