Triple
T14265208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peano arithmetic |
E353625
|
entity |
| Predicate | doesNotQuantifyOver |
P113493
|
FINISHED |
| Object | sets of natural numbers |
—
|
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: sets of natural numbers | Statement: [Peano arithmetic, doesNotQuantifyOver, sets of natural numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotQuantifyOver Context triple: [Peano arithmetic, doesNotQuantifyOver, sets of natural numbers]
-
A.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
doesNotDefine
Indicates that one entity does not provide a definition, specification, or determining description for another entity.
-
C.
doesNotDetermine
Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
-
D.
doesNotImply
Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
-
E.
doesNotNecessarily
Indicates that the specified condition, relationship, or outcome is not guaranteed to hold, even if other related conditions are true.
- 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_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. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:09 a.m.