Triple

T11919081
Position Surface form Disambiguated ID Type / Status
Subject Fitting ideal E283606 entity
Predicate stableUnder P27209 FINISHED
Object base change in many situations 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: base change in many situations | Statement: [Fitting ideal, stableUnder, base change in many situations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stableUnder
Context triple: [Fitting ideal, stableUnder, base change in many situations]
  • A. stabilizedBy
    Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
  • B. isStable
    Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
  • C. stabilityDescription
    Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
  • D. holdsUnder chosen
    Indicates that one entity maintains possession, control, or validity of another entity subject to certain conditions, constraints, or a specific context.
  • E. stabilityCharacteristic
    Indicates that one entity specifies a property or feature related to the stability or steadiness of another entity 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8dff77481908cacf6ad03df34ac completed April 10, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69d8bb3632ac8190b13e53c2b5db7125 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.