Triple

T25938810
Position Surface form Disambiguated ID Type / Status
Subject Tau Ceti b E653633 entity
Predicate stabilityStatus P7806 FINISHED
Object dynamically stable in multi-planet models 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: dynamically stable in multi-planet models | Statement: [Tau Ceti b, stabilityStatus, dynamically stable in multi-planet models]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stabilityStatus
Context triple: [Tau Ceti b, stabilityStatus, dynamically stable in multi-planet models]
  • A. isStable chosen
    Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
  • B. stabilityDescription
    Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
  • C. haveStabilityDeterminedBy
    Indicates that the stability of one entity is determined or governed by another specified factor or entity.
  • D. hasStabilityLevel
    Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
  • E. stabilityReason
    Indicates the factor, condition, or cause that accounts for why something remains stable or unchanged.
  • 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_69e7ab3fd2f881908837305e4ba98011 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6045b07b08190a58fd7e0acda574c completed May 2, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69f4a10480748190a2e67bd399fc435d completed May 1, 2026, 12:48 p.m.
Created at: April 22, 2026, 8:40 a.m.