Triple
T26254903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T : z ↦ z + 1 |
E656690
|
entity |
| Predicate | hasFixedPoint |
P179459
|
FINISHED |
| Object | ∞ |
—
|
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: ∞ | Statement: [T : z ↦ z + 1, hasFixedPoint, ∞]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFixedPoint Context triple: [T : z ↦ z + 1, hasFixedPoint, ∞]
-
A.
isFirstFixedPointOf
Indicates that one entity is the earliest (smallest or first in some ordering) value at which a given function or operation, applied to that value, returns the value itself.
-
B.
hasFixedRoute
Indicates that an entity follows a predetermined, unchanging path or sequence of locations when operating or moving.
-
C.
hasFixedCount
Indicates that something is associated with a specific, unchanging number or quantity.
-
D.
hasFixedBaseOperator
Indicates that an entity is associated with or utilizes a specific, non-changing base operator as part of its definition or behavior.
-
E.
isFixedFieldOf
Indicates that one element is a fixed, non-variable field or attribute that belongs to and is structurally defined as part of another entity.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 26, 2026, 9:08 p.m.