Triple
T26253269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Neumann neighborhood |
E656652
|
entity |
| Predicate | isCommonDefaultIn |
P118343
|
FINISHED |
| Object | early cellular automata models |
—
|
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: early cellular automata models | Statement: [von Neumann neighborhood, isCommonDefaultIn, early cellular automata models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommonDefaultIn Context triple: [von Neumann neighborhood, isCommonDefaultIn, early cellular automata models]
-
A.
isCommonInState
Indicates that something frequently occurs, appears, or is prevalent within a particular state or region.
-
B.
isDefaultFor
Indicates that something serves as the standard or fallback option that is automatically applied or selected for a given entity or context unless another choice is explicitly specified.
-
C.
isCommonlyDefinedBy
Indicates that something is typically or most frequently characterized, specified, or described by a particular definition, property, or set of criteria.
-
D.
commonIn
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
E.
includedByDefaultIn
chosen
Indicates that one entity is automatically present or enabled within another entity or context without requiring explicit selection or configuration.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 26, 2026, 9:07 p.m.