Triple
T8640815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős–Rényi model |
E204641
|
entity |
| Predicate | vertexCountParameter |
P84385
|
FINISHED |
| Object | n |
—
|
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: n | Statement: [Erdős–Rényi model, vertexCountParameter, n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vertexCountParameter Context triple: [Erdős–Rényi model, vertexCountParameter, n]
-
A.
parameterCount
Indicates the number of parameters associated with a given function, method, or callable entity.
-
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.
pixelCount
Indicates the total number of individual pixels that make up a given image or visual element.
-
E.
numberOfCurves
Indicates the relationship that specifies how many distinct curves are associated with or contained in a given 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc479284a8819099b0b0d879af3372 |
completed | March 31, 2026, 10:15 p.m. |
Created at: March 30, 2026, 6:28 p.m.