Triple
T20627410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevanlinna–Pick interpolation |
E506854
|
entity |
| Predicate | conditionOnNodes |
P114090
|
FINISHED |
| Object | interpolation nodes are distinct |
—
|
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: interpolation nodes are distinct | Statement: [Nevanlinna–Pick interpolation, conditionOnNodes, interpolation nodes are distinct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionOnNodes Context triple: [Nevanlinna–Pick interpolation, conditionOnNodes, interpolation nodes are distinct]
-
A.
vertexCondition
Indicates a constraint or property that must hold at a specific vertex within a structure, such as a graph or geometric object.
-
B.
existenceConditionUndirectedGraph
Indicates that a specified condition holds for the existence of an undirected graph (or a structure modeled as one), typically constraining when such a graph can or must exist.
-
C.
containsCondition
Indicates that one entity includes, embodies, or is associated with a particular condition.
-
D.
hasNode
chosen
Indicates that one entity contains, includes, or is associated with a particular node as part of its structure or composition.
-
E.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe645888190b639ebedc5b3041a |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:42 a.m.