Triple

T30713980
Position Surface form Disambiguated ID Type / Status
Subject Natalia Alianovna Romanova E781970 entity
Predicate slowedAging P142670 FINISHED
Object true 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: true | Statement: [Natalia Alianovna Romanova, slowedAging, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: slowedAging
Context triple: [Natalia Alianovna Romanova, slowedAging, true]
  • A. oxidativeAging
    Indicates a process where a substance or material undergoes deterioration or change over time due to reactions with oxygen or oxidative agents.
  • B. typicalAgingTime
    Indicates the usual duration required for something to age or mature under normal conditions.
  • C. slows chosen
    Indicates that one entity causes another entity’s speed, rate, or progress to decrease.
  • D. alternativeAgingMethod
    Indicates that one aging process or technique is used as an alternative to another for achieving a similar maturation or aging outcome.
  • E. positionOnAging
    Indicates a stance, opinion, or policy that an entity holds regarding aging or age-related issues.
  • 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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c20d09481908f566241722507d3 completed May 2, 2026, 11:43 p.m.
PD Predicate disambiguation batch_69f6861170d08190bb98be609d436f84 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:35 p.m.