Triple

T8321192
Position Surface form Disambiguated ID Type / Status
Subject Haldane’s dilemma E194835 entity
Predicate mathematicallyAnalyzes P12675 FINISHED
Object number of selective deaths per substitution 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: number of selective deaths per substitution | Statement: [Haldane’s dilemma, mathematicallyAnalyzes, number of selective deaths per substitution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mathematicallyAnalyzes
Context triple: [Haldane’s dilemma, mathematicallyAnalyzes, number of selective deaths per substitution]
  • A. analyzes
    Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
  • B. helpsAnalyze
    Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
  • C. mathematicallyUses
    Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
  • D. hasAnalysis
    Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
  • E. mathematicallyExpressedBy chosen
    Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f67aee88190b245f8d6e57a40b2 completed March 31, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69cb70bf689c8190a9d9b6b872abf53d completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:55 p.m.