Triple

T16621715
Position Surface form Disambiguated ID Type / Status
Subject Gaia Data Release 3 E403847 entity
Predicate approximateNumberOfVariableStars P123353 FINISHED
Object 10 million 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: 10 million | Statement: [Gaia Data Release 3, approximateNumberOfVariableStars, 10 million]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfVariableStars
Context triple: [Gaia Data Release 3, approximateNumberOfVariableStars, 10 million]
  • A. numberOfVariableStars chosen
    Indicates the count of variable stars associated with or present in a given context or entity.
  • B. isVariableStar
    Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
  • C. 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.
  • D. approximateStellarCount
    Indicates an estimated or rough number of stars associated with a given astronomical object or region.
  • E. notableVariableStar
    Indicates that the subject is a variable star recognized as particularly significant or noteworthy in some context (e.g., scientifically, historically, or observationally).
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69e296ad3f148190af09223dc35b155c completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:17 a.m.