Triple
T5767709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SVRL |
E127253
|
entity |
| Predicate | outputTypeOf |
P92
|
FINISHED |
| Object | Schematron XSLT skeletons |
—
|
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: Schematron XSLT skeletons | Statement: [SVRL, outputTypeOf, Schematron XSLT skeletons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputTypeOf Context triple: [SVRL, outputTypeOf, Schematron XSLT skeletons]
-
A.
hasOutputType
chosen
Indicates that an entity produces, returns, or yields a result of a specified type.
-
B.
exportsType
Indicates that one entity sends or sells a particular type or category of goods, services, or resources to another entity across a boundary (such as international borders).
-
C.
resultType
Indicates the type or category of outcome that is produced by a given process, action, or operation.
-
D.
printType
Indicates the method or format by which something is printed or physically reproduced.
-
E.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.