Triple
T36836389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steklov operator |
E910282
|
entity |
| Predicate | typicalHilbertSpace |
P119001
|
FINISHED |
| Object | L^2 of the boundary measure |
—
|
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: L^2 of the boundary measure | Statement: [Steklov operator, typicalHilbertSpace, L^2 of the boundary measure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHilbertSpace Context triple: [Steklov operator, typicalHilbertSpace, L^2 of the boundary measure]
-
A.
hasHilbertSpace
chosen
Indicates that an entity is associated with, defined on, or characterized by a particular Hilbert space in which its states or operations are represented.
-
B.
typicalStateSpace
Indicates the usual or standard set of states in which an entity, system, or process is considered to operate.
-
C.
vectorSpace
Indicates that one entity is a vector space structured over another entity, which serves as its underlying field or scalar domain.
-
D.
waveFunctionLivesIn
Indicates that a wave function is associated with, defined within, or resides in a particular space, domain, or context.
-
E.
typicalTopology
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.