Triple

T19715861
Position Surface form Disambiguated ID Type / Status
Subject neutral theory of population genetics E473474 entity
Predicate downplaysProcess P104120 FINISHED
Object positive natural selection 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: positive natural selection | Statement: [neutral theory of population genetics, downplaysProcess, positive natural selection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: downplaysProcess
Context triple: [neutral theory of population genetics, downplaysProcess, positive natural selection]
  • A. downplayedIssue chosen
    Indicates that an entity minimizes, understates, or reduces the perceived importance or severity of an issue in relation to another entity or context.
  • B. downSpecial
    Indicates that an entity performs or is associated with a special action or ability triggered by a downward input or downward-directed command.
  • C. down
    Indicates that one entity is located at a lower position or level relative to another entity or reference point.
  • D. turnsDown
    Indicates that one entity rejects, refuses, or declines an offer, request, or proposal made by another entity.
  • E. demotes
    Indicates that one entity reduces another entity’s rank, status, or level within a hierarchy or system.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440cb47c81908124dfbd6f781d23 completed April 20, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69e530438c60819082364c7be3eef6f0 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:46 p.m.