Triple
T10915750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 636 |
E257816
|
entity |
| Predicate | explainsDifferenceFrom |
P74132
|
FINISHED |
| Object | traditional switch/case statements in other languages |
—
|
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: traditional switch/case statements in other languages | Statement: [PEP 636, explainsDifferenceFrom, traditional switch/case statements in other languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explainsDifferenceFrom Context triple: [PEP 636, explainsDifferenceFrom, traditional switch/case statements in other languages]
-
A.
differenceDescription
chosen
Indicates a textual explanation that characterizes how two entities differ from each other.
-
B.
adaptationDifference
Indicates a difference or change in how two entities adapt or have adapted relative to each other.
-
C.
differentiatedFrom
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
-
D.
exploresContrastBetween
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
-
E.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
- 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_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. |
Created at: April 8, 2026, 9:22 p.m.