Triple

T29689764
Position Surface form Disambiguated ID Type / Status
Subject Hyperbola GNU/Linux-libre E751181 entity
Predicate emphasizesLongTermStability P167598 FINISHED
Object yes 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: yes | Statement: [Hyperbola GNU/Linux-libre, emphasizesLongTermStability, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesLongTermStability
Context triple: [Hyperbola GNU/Linux-libre, emphasizesLongTermStability, yes]
  • A. hasLongTermClimaticStability
    Indicates that the subject exists or occurs in an environment where climatic conditions remain relatively stable over long time periods.
  • B. periodOfRelativeStability
    Indicates a span of time during which conditions remain relatively unchanged or stable compared to surrounding periods.
  • C. stabilityDescription
    Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
  • D. stabilityCharacteristic
    Indicates that one entity specifies a property or feature related to the stability or steadiness of another entity or system.
  • E. 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.
  • F. None of above. chosen

Provenance (4 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672938e18819082394196f97e6340 completed May 2, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691da93081909deaf680614fc900 completed May 2, 2026, 9:14 p.m.
Created at: April 28, 2026, 7:15 p.m.