Triple
T1096292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RELAX NG |
E24278
|
entity |
| Predicate | compactSyntaxBasedOn |
P5327
|
FINISHED |
| Object | non-XML text format |
—
|
LITERAL 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: non-XML text format | Statement: [RELAX NG, compactSyntaxBasedOn, non-XML text format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactSyntaxBasedOn Context triple: [RELAX NG, compactSyntaxBasedOn, non-XML text format]
-
A.
syntaxBasedOn
chosen
Indicates that the syntactic structure or rules of one entity are derived from, influenced by, or constructed according to the syntax of another entity.
-
B.
compiledUnder
Indicates that something (typically code or a program) was built or translated into executable form using a specific compiler, configuration, or compilation environment.
-
C.
compositionRule
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
-
D.
compositionMethod
Indicates the technique or process by which something is composed, created, or constructed.
-
E.
recognizedFirstBy
Indicates that one entity was the earliest or initial recognizer, identifier, or acknowledger of another entity.
- F. None of above.
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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.