Triple

T21178027
Position Surface form Disambiguated ID Type / Status
Subject IC 1848 E521866 entity
Predicate apparentAngularSize_arcmin P6952 FINISHED
Object ~50 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: ~50 | Statement: [IC 1848, apparentAngularSize_arcmin, ~50]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: apparentAngularSize_arcmin
Context triple: [IC 1848, apparentAngularSize_arcmin, ~50]
  • A. minorAxisAngularSize_arcmin
    Indicates the apparent angular size, measured in arcminutes, of the minor axis of an object as seen on the sky.
  • B. angularSize chosen
    Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
  • C. apparentMagnitude
    Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
  • D. meanDiameter_km
    Indicates the average diameter of an object or region measured in kilometers.
  • E. isVeryLargeAngularDiameterStar
    Indicates that the star has an unusually large apparent angular diameter as seen from the observer’s vantage point.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301a8198819092daa1c847889a88 completed April 21, 2026, 8:06 a.m.
PD Predicate disambiguation batch_69e5f6027c248190a170a36612bd337e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3 p.m.