Triple
T15742153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramsey sentence |
E381626
|
entity |
| Predicate | usesQuantification |
P120447
|
FINISHED |
| Object | existential quantification |
—
|
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: existential quantification | Statement: [Ramsey sentence, usesQuantification, existential quantification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesQuantification Context triple: [Ramsey sentence, usesQuantification, existential quantification]
-
A.
quantifiesOver
Indicates that one entity expresses a quantity, measurement, or numerical specification that applies to or ranges over another entity.
-
B.
quantificationType
Indicates the specific kind or category of quantity or measurement being applied in a given context.
-
C.
quantifies
Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
-
D.
doesNotQuantifyOver
Indicates that one element does not range over, bind, or take as a variable the other element within a logical or formal expression.
-
E.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.