Triple

T18458286
Position Surface form Disambiguated ID Type / Status
Subject 55636 2002 TX300 E450960 entity
Predicate hasLightcurveVariations P131723 FINISHED
Object true 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: true | Statement: [55636 2002 TX300, hasLightcurveVariations, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLightcurveVariations
Context triple: [55636 2002 TX300, hasLightcurveVariations, true]
  • A. hasLightcurveMeasurements
    Indicates that an entity has associated lightcurve measurements, representing recorded variations in its brightness over time.
  • B. lightcurveIndicates
    Indicates that the characteristics or pattern of an object's light curve provide evidence for or reveal information about a particular property, state, or event associated with that object.
  • C. isVariableStar
    Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
  • D. 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.
  • E. hasTransitLightCurve
    Indicates that an object exhibits a measurable transit light curve, showing periodic dips in observed brightness due to another body passing in front of it.
  • F. None of above. chosen

Provenance (4 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7c18d88190ac17f58111722223 completed April 19, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e469d05cf4819099baf1665a9cf18a completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:31 a.m.