Triple
T16402872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smale horseshoe |
E398342
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Markov partition |
E911355
|
NE 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: Markov partition | Statement: [Smale horseshoe, relatedConcept, Markov partition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markov partition Context triple: [Smale horseshoe, relatedConcept, Markov partition]
-
A.
Markov partition
chosen
A Markov partition is a special decomposition of a dynamical system’s phase space into regions whose transitions are governed by a Markov process, enabling symbolic coding and analysis of the system’s behavior.
-
B.
Sinai–Ruelle–Bowen measure
The Sinai–Ruelle–Bowen measure is an invariant probability measure used in dynamical systems theory to describe the statistical behavior of chaotic systems, particularly those with hyperbolic dynamics.
-
C.
Smale horseshoe
The Smale horseshoe is a fundamental example in dynamical systems theory that illustrates chaotic behavior through a specific stretching-and-folding map of a square into a horseshoe-shaped region.
-
D.
Bernoulli shifts
Bernoulli shifts are fundamental examples in ergodic theory and dynamical systems, modeling sequences of independent, identically distributed random variables under the shift map and serving as prototypes of measure-preserving, strongly mixing transformations.
-
E.
Kakutani–Rokhlin towers
Kakutani–Rokhlin towers are combinatorial structures in ergodic theory that decompose a measure-preserving transformation into stacked levels (or “towers”) to analyze its dynamical and measure-theoretic properties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d0652081908f42f78b156f3ae7 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6094e481909aa7402fd17fedae |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.