Triple
T6929763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | continuum hypothesis |
E160402
|
entity |
| Predicate | canBeNegatedAsAxiom |
P73748
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [continuum hypothesis, canBeNegatedAsAxiom, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeNegatedAsAxiom Context triple: [continuum hypothesis, canBeNegatedAsAxiom, yes]
-
A.
hasAxiom
Indicates that an entity is associated with, defined by, or governed through a specific axiom or set of axioms.
-
B.
axiom2
Indicates that the relationship or action is taken as a fundamental, assumed truth within the system, serving as a base rule from which other statements are derived.
-
C.
hasAxiomSchema
Indicates that one entity is associated with, defined by, or governed through a particular axiom schema.
-
D.
foundationAxiomHoldsIn
Indicates that the foundation (or regularity) axiom is satisfied within a given model, structure, or context.
-
E.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1f5fcc8190b43f53f90fc1821c |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.