Triple
T8640840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős–Rényi model |
E204641
|
entity |
| Predicate | edgeCountDistributionInG(n,p) |
P84388
|
FINISHED |
| Object | binomial with parameters (n choose 2) and p |
—
|
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: binomial with parameters (n choose 2) and p | Statement: [Erdős–Rényi model, edgeCountDistributionInG(n,p), binomial with parameters (n choose 2) and p]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeCountDistributionInG(n,p) Context triple: [Erdős–Rényi model, edgeCountDistributionInG(n,p), binomial with parameters (n choose 2) and p]
-
A.
junctionCountApprox
Indicates an approximate count of junctions or connection points involved in or associated with the given entities.
-
B.
edgesInMinimalTriangulation
Indicates that the specified edges are exactly those that appear in at least one minimal triangulation (chordal completion with the fewest added edges) of a given graph.
-
C.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
D.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
E.
EulerCharacteristic
Indicates the topological invariant of a space that equals, in a suitable decomposition, the alternating sum of the counts of its cells (e.g., vertices − edges + faces).
- 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.