Triple

T6494104
Position Surface form Disambiguated ID Type / Status
Subject Rhea E148112 entity
Predicate rankBySizeAroundSaturn P62433 FINISHED
Object second-largest moon of Saturn 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: second-largest moon of Saturn | Statement: [Rhea, rankBySizeAroundSaturn, second-largest moon of Saturn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankBySizeAroundSaturn
Context triple: [Rhea, rankBySizeAroundSaturn, second-largest moon of Saturn]
  • A. rankBySizeAroundNeptune
    Indicates that entities are ordered according to their size in relation to Neptune, typically ranking them from largest to smallest (or vice versa) based on comparative size.
  • B. rankBySizeAmongMoons chosen
    Indicates the ordinal position of a moon in a size-based ranking relative to other moons.
  • C. areLargestMoonsOf
    Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
  • D. rankByDistanceFromSun
    Indicates an ordering of entities based on how close or far they are from the Sun, with position determined by distance.
  • E. relativeSizeToPluto
    Indicates how the size of one entity compares to the size of Pluto.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69c06740bebc81909d9d6956baa2bcb9 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:53 p.m.