Triple
T29514237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham's number |
E748745
|
entity |
| Predicate | hasBaseRepresentation |
P180631
|
FINISHED |
| Object | defined via iterated exponentials of 3 |
—
|
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: defined via iterated exponentials of 3 | Statement: [Graham's number, hasBaseRepresentation, defined via iterated exponentials of 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseRepresentation Context triple: [Graham's number, hasBaseRepresentation, defined via iterated exponentials of 3]
-
A.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
B.
hasMainRepresentation
Indicates that one entity serves as the primary or canonical representation of another entity.
-
C.
hasRepresentationFrom
Indicates that something serves as a representation, depiction, or encoding that originates from or is derived from another entity.
-
D.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
E.
hasBaseCount
Indicates the number of base units or fundamental components associated with an entity.
- 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_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 28, 2026, 4:35 p.m.