Triple
T8640839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős–Rényi model |
E204641
|
entity |
| Predicate | probabilitySpace |
P51618
|
FINISHED |
| Object | set of all simple graphs on n labeled vertices |
—
|
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: set of all simple graphs on n labeled vertices | Statement: [Erdős–Rényi model, probabilitySpace, set of all simple graphs on n labeled vertices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: probabilitySpace Context triple: [Erdős–Rényi model, probabilitySpace, set of all simple graphs on n labeled vertices]
-
A.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
-
B.
holdsAlmostSurely
Indicates that the specified property or event occurs with probability 1, i.e., it is true almost everywhere except possibly on a set of outcomes of probability zero.
-
C.
seedSpace
Indicates a relationship where an entity provides or occupies an initial area, context, or capacity from which growth, development, or further allocation can begin.
-
D.
typicalStateSpace
chosen
Indicates the usual or standard set of states in which an entity, system, or process is considered to operate.
-
E.
stochastic
Indicates that the relationship or process involves randomness or probabilistic behavior rather than being fully deterministic.
- F. None of above.
Provenance (3 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. |
Created at: March 30, 2026, 6:28 p.m.