Triple
T9843544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy sequence |
E239283
|
entity |
| Predicate | hasLogicalForm |
P4940
|
FINISHED |
| Object | ∀ε>0 ∃N ∀m,n≥N : d(x_m,x_n)<ε |
—
|
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: ∀ε>0 ∃N ∀m,n≥N : d(x_m,x_n)<ε | Statement: [Cauchy sequence, hasLogicalForm, ∀ε>0 ∃N ∀m,n≥N : d(x_m,x_n)<ε]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogicalForm Context triple: [Cauchy sequence, hasLogicalForm, ∀ε>0 ∃N ∀m,n≥N : d(x_m,x_n)<ε]
-
A.
logicalForm
chosen
Indicates a relationship where an expression is associated with its structured, formal logical representation.
-
B.
hasLogicalStructure
Indicates that one entity possesses or exhibits a specific underlying logical organization or pattern defined by another entity.
-
C.
hasNonLogicalSymbol
Indicates that a given formal system, expression, or language includes at least one symbol that is not part of its logical vocabulary (e.g., not a connective, quantifier, or equality sign).
-
D.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
E.
logicSystem
Indicates a relationship where an entity is associated with, defined within, or governed by a particular logical framework or system of formal reasoning.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35c8e348190aa090c71bf6f30eb |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:33 p.m.