Triple

T19490302
Position Surface form Disambiguated ID Type / Status
Subject Messier 14 E487629 entity
Predicate hasVariableStars P135149 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: [Messier 14, hasVariableStars, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVariableStars
Context triple: [Messier 14, hasVariableStars, yes]
  • A. isVariableStar
    Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
  • B. containsVariableStars chosen
    Indicates that the subject includes one or more stars whose brightness changes over time (variable stars).
  • C. numberOfVariableStars
    Indicates the count of variable stars associated with or present in a given context or entity.
  • D. hasVariableStarDesignation
    Indicates that an entity is assigned a specific variable star designation in an astronomical naming system.
  • E. isSuspectedVariableStar
    Indicates that an astronomical object is believed, based on preliminary or incomplete evidence, to exhibit variability in its brightness over time but has not yet been confirmed as a variable star.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348d43448190bf83680522b8b415 completed April 20, 2026, 2:13 p.m.
PD Predicate disambiguation batch_69e4fd7883308190b73912a71a35a835 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:39 p.m.