Triple
T2321055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 572 |
E51179
|
entity |
| Predicate | syntaxChoiceReason |
P5327
|
FINISHED |
| Object | use of := inspired by languages like Go and Pascal |
—
|
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: use of := inspired by languages like Go and Pascal | Statement: [PEP 572, syntaxChoiceReason, use of := inspired by languages like Go and Pascal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syntaxChoiceReason Context triple: [PEP 572, syntaxChoiceReason, use of := inspired by languages like Go and Pascal]
-
A.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
B.
syntaxBasedOn
chosen
Indicates that the syntactic structure or rules of one entity are derived from, influenced by, or constructed according to the syntax of another entity.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
E.
decisionBasis
Indicates the underlying reason, criterion, or rationale on which a decision is made.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.