Triple
T3884578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kac walk |
E92907
|
entity |
| Predicate | typicalStateSpace |
P51618
|
FINISHED |
| Object | sphere in high-dimensional Euclidean space |
—
|
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: sphere in high-dimensional Euclidean space | Statement: [Kac walk, typicalStateSpace, sphere in high-dimensional Euclidean space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStateSpace Context triple: [Kac walk, typicalStateSpace, sphere in high-dimensional Euclidean space]
-
A.
typicalTopology
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
-
B.
standardState
Indicates that an entity is in its default, reference, or officially recognized condition or configuration under standard conditions.
-
C.
typeOfState
Indicates that one state is a specific kind or category of another, more general state.
-
D.
stateRepresentation
Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status of another entity.
-
E.
namedForStateRepresentation
Indicates that something is named in reference to a specific state’s political or governmental representation.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec92cc548190b88b899299e5ccdc |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.