Triple
T7337910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moore neighborhood |
E169176
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cellular automaton neighborhood |
C7456
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: cellular automaton neighborhood Context triple: [Moore neighborhood, instanceOf, cellular automaton neighborhood]
-
A.
cellular automaton
chosen
A cellular automaton is a discrete computational model consisting of a grid of cells, each in one of a finite number of states, that evolve over time according to simple local rules based on the states of neighboring cells.
-
B.
neighborhood
A neighborhood is a geographically localized community within a larger city or town, characterized by shared residential spaces, social interactions, and common amenities.
-
C.
neighborhood association
A neighborhood association is a community-based organization formed by residents of a specific area to address local issues, coordinate activities, and advocate for the neighborhood’s interests.
-
D.
Euclidean correlation function
A Euclidean correlation function is a Green’s function defined in Euclidean (imaginary-time) spacetime that encodes the correlations between field operators at different points and is related to physical, real-time correlation functions by analytic continuation.
-
E.
Conway number
A Conway number is a recursively defined number system introduced by John Conway that generalizes real numbers and ordinals, allowing arithmetic and game-theoretic values to be represented within a unified framework.
- F. None of above.
Provenance (1 batch)
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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
Created at: March 27, 2026, 3:04 p.m.