Triple
T10915727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 636 |
E257816
|
entity |
| Predicate | explainsSyntaxElement |
P96385
|
FINISHED |
| Object | match statement |
—
|
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: match statement | Statement: [PEP 636, explainsSyntaxElement, match statement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explainsSyntaxElement Context triple: [PEP 636, explainsSyntaxElement, match statement]
-
A.
syntaxElement
Indicates a relationship where something functions as a syntactic unit or component within a larger grammatical or structural expression.
-
B.
definesSyntax
Indicates that one entity specifies or determines the formal structure, rules, or grammar by which another entity is expressed or interpreted.
-
C.
definesElement
Indicates that one entity specifies or determines the nature, structure, or identity of another entity as its defining element.
-
D.
syntacticType
Indicates the grammatical or structural category that characterizes how an expression functions within a syntactic construction.
-
E.
symbolElement
Indicates that one entity is a constituent element or component that makes up the other entity, which is treated as a symbol.
- F. None of above. chosen
Provenance (4 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d710400ea88190ac2ed6f0a13d62c1 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:22 p.m.