Triple

T25938814
Position Surface form Disambiguated ID Type / Status
Subject Tau Ceti b E653633 entity
Predicate discoveryTechniqueDetail P7311 FINISHED
Object Bayesian analysis of precision radial-velocity data 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: Bayesian analysis of precision radial-velocity data | Statement: [Tau Ceti b, discoveryTechniqueDetail, Bayesian analysis of precision radial-velocity data]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discoveryTechniqueDetail
Context triple: [Tau Ceti b, discoveryTechniqueDetail, Bayesian analysis of precision radial-velocity data]
  • A. discoveryMethod chosen
    Indicates the process, technique, or approach by which something was found, detected, or identified.
  • B. observingTechnique
    Indicates the method or procedure used to carry out an observation.
  • C. featuresTechnique
    Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
  • D. isDiscoveredBy
    Indicates that something (such as an object, fact, or phenomenon) is found, identified, or revealed by a particular agent or entity.
  • E. discoveredFeature
    Indicates that an entity has identified or uncovered a previously unknown or unrecognized feature of another entity or object.
  • 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_69f650c70d7c819093d9a0f005f7c8d5 completed May 2, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69f64cab1f648190a2a9460690d18a37 completed May 2, 2026, 7:12 p.m.
Created at: April 22, 2026, 8:40 a.m.