Triple
T11242714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway's 99-graph problem |
E266110
|
entity |
| Predicate | vertexCount |
P98644
|
FINISHED |
| Object | 99 |
—
|
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: 99 | Statement: [Conway's 99-graph problem, vertexCount, 99]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vertexCount Context triple: [Conway's 99-graph problem, vertexCount, 99]
-
A.
vertexCountParameter
Indicates that a parameter specifies or controls the number of vertices involved in a geometry or mesh.
-
B.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
-
C.
hasNumberOfTriangles
Indicates that an entity is associated with a specific count of triangles it contains or involves.
-
D.
verticesInMinimalTriangulation
Indicates that the related vertices are exactly those that appear in at least one minimal triangulation of a given graph or structure.
-
E.
branchCount
Indicates the number of branches associated with a given entity or structure.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:30 p.m.