Triple

T18443942
Position Surface form Disambiguated ID Type / Status
Subject TY Coronae Australis E450605 entity
Predicate hasVariableAccretion P60002 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: [TY Coronae Australis, hasVariableAccretion, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVariableAccretion
Context triple: [TY Coronae Australis, hasVariableAccretion, yes]
  • A. hasAccretionActivity chosen
    Indicates that an object is currently undergoing or exhibiting accretion, i.e., the process of accumulating mass from surrounding material.
  • B. hasVariability
    Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
  • C. hasVariableStarDesignation
    Indicates that an entity is assigned a specific variable star designation in an astronomical naming system.
  • D. isVariableStar
    Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
  • E. hasVariable
    Indicates that one entity includes, defines, or is associated with a particular variable.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c142abc8190b4f6f938acdc413d completed April 19, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:30 a.m.