Triple
T14265175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peano arithmetic |
E353625
|
entity |
| Predicate | hasConstantSymbol |
P9782
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Peano arithmetic, hasConstantSymbol, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstantSymbol Context triple: [Peano arithmetic, hasConstantSymbol, 0]
-
A.
includesConstant
chosen
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
B.
symbolForConstant
Indicates that one entity serves as the symbolic representation or notation used to denote a particular constant.
-
C.
usesConstant
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
D.
hasVariantConstant
Indicates that one entity is a specific constant-valued variant or fixed-value form of another entity.
-
E.
hasSymbolicValue
Indicates that something holds meaning, significance, or representational value beyond its literal or practical function.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:09 a.m.