Triple
T1159881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MathML |
E24468
|
entity |
| Predicate | firstVersion |
P11996
|
FINISHED |
| Object | MathML 1.0 |
E24468
|
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: MathML 1.0 | Statement: [MathML, firstVersion, MathML 1.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MathML 1.0 Context triple: [MathML, firstVersion, MathML 1.0]
-
A.
MathML
chosen
MathML is an XML-based markup language designed to represent and structure mathematical notation for display and processing on the web.
-
B.
OpenMath
OpenMath is a standard for representing the semantic meaning of mathematical expressions in a structured, machine-readable form to enable reliable exchange between computer programs.
-
C.
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.
-
D.
SGML
SGML (Standard Generalized Markup Language) is a standardized metalanguage for defining markup languages used to structure and describe the content of electronic documents.
-
E.
ECMA-334
ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f15a9ac8190802f66f3699fbbe7 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:45 p.m.