Triple
T26254929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T : z ↦ z + 1 |
E656690
|
entity |
| Predicate | isBasicExampleOf |
P120397
|
FINISHED |
| Object | parabolic isometry of the hyperbolic plane |
—
|
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: parabolic isometry of the hyperbolic plane | Statement: [T : z ↦ z + 1, isBasicExampleOf, parabolic isometry of the hyperbolic plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBasicExampleOf Context triple: [T : z ↦ z + 1, isBasicExampleOf, parabolic isometry of the hyperbolic plane]
-
A.
isCanonicalExampleOf
Indicates that something serves as a standard or typical instance that exemplifies a concept, category, or pattern.
-
B.
hasExample
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
-
C.
baseExamples
chosen
Indicates that something serves as a fundamental or illustrative example for understanding or demonstrating another concept, item, or case.
-
D.
strongBaseExample
Indicates that the subject is a representative or illustrative instance of a strong base in the given context.
-
E.
weakBaseExample
Indicates that something serves as an illustrative example of a weak base in a chemical or conceptual context.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcd2e688190b54e36b0ff0d9187 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:08 p.m.