Triple
T10763824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 634 |
E253900
|
entity |
| Predicate | definesSemanticsFor |
P74447
|
FINISHED |
| Object | pattern matching on sequences |
—
|
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: pattern matching on sequences | Statement: [PEP 634, definesSemanticsFor, pattern matching on sequences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesSemanticsFor Context triple: [PEP 634, definesSemanticsFor, pattern matching on sequences]
-
A.
hasSemanticsDefinedBy
chosen
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
B.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
C.
definesSyntax
Indicates that one entity specifies or determines the formal structure, rules, or grammar by which another entity is expressed or interpreted.
-
D.
semanticsDetail
Indicates a more specific or fine-grained semantic characterization or nuance of a broader meaning or interpretation.
-
E.
definesOperationsOf
Indicates that one entity specifies or determines the set, nature, or details of operations performed by 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a504948190943f0e27c0d891ed |
completed | April 9, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.