Triple

T8640814
Position Surface form Disambiguated ID Type / Status
Subject Erdős–Rényi model E204641 entity
Predicate edgeProbability P12745 FINISHED
Object 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: p | Statement: [Erdős–Rényi model, edgeProbability, p]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: edgeProbability
Context triple: [Erdős–Rényi model, edgeProbability, p]
  • A. typicalEdge
    Indicates a standard or representative connection between two entities, as opposed to a special or exceptional type of edge.
  • B. definesProbability chosen
    Indicates that one entity specifies or assigns the probability value associated with another entity or event.
  • C. standardEdge
    Indicates a basic or default connection or link between two entities, without any special properties or conditions.
  • D. chanceElement
    Indicates that the relationship or outcome involves randomness or probabilistic chance rather than being deterministic.
  • E. hasFailureProbability
    Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
  • 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.