Triple
T29514417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham–Rothschild theorem |
E748751
|
entity |
| Predicate | levelOfGenerality |
P166986
|
FINISHED |
| Object | higher-dimensional |
—
|
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: higher-dimensional | Statement: [Graham–Rothschild theorem, levelOfGenerality, higher-dimensional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfGenerality Context triple: [Graham–Rothschild theorem, levelOfGenerality, higher-dimensional]
-
A.
generalizationTo
Indicates that one concept or entity is a more general, abstract, or encompassing version of another, capturing a broader category or superset relationship.
-
B.
generalizationOf
Indicates that one entity represents a broader, more general concept or category that subsumes or abstracts over another, more specific entity.
-
C.
generalizationProperty
Indicates that one property is a more general, overarching version of another property, capturing a broader or more abstract relationship.
-
D.
commonLevel
Indicates that two or more entities share the same level, rank, or hierarchical position within a given system or structure.
-
E.
granularityLevel
Indicates the degree of detail or resolution at which something is specified, measured, or analyzed within a given context.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c62719c8190852726ede476e159 |
completed | May 2, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:35 p.m.