Triple
T17569180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ClosedRange |
E427890
|
entity |
| Predicate | syntaxOperator |
P19166
|
FINISHED |
| Object | ... |
—
|
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: ... | Statement: [ClosedRange, syntaxOperator, ...]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syntaxOperator Context triple: [ClosedRange, syntaxOperator, ...]
-
A.
operatorSymbol
chosen
Indicates the symbolic notation used to represent an operator in an expression or formal system.
-
B.
operator
Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
-
C.
usesOperatorPosition
Indicates that one entity occupies or is assigned to the role of an operator within a particular position or context.
-
D.
involvesOperator
Indicates that a given process, action, or relationship includes or makes use of a specific operator as a participating element.
-
E.
typicalOperatorType
Indicates the usual or most common type or category of operator associated with a given entity or 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592f29d08190bc3de905d35af849 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.