Triple

T34582333
Position Surface form Disambiguated ID Type / Status
Subject Kroupa initial mass function E887941 entity
Predicate hasLowerMassLimit P76140 FINISHED
Object approximately 0.01 solar masses 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: approximately 0.01 solar masses | Statement: [Kroupa initial mass function, hasLowerMassLimit, approximately 0.01 solar masses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowerMassLimit
Context triple: [Kroupa initial mass function, hasLowerMassLimit, approximately 0.01 solar masses]
  • A. hasLowMass
    Indicates that the subject possesses a relatively small amount of mass compared to a given standard or reference.
  • B. hasLowerDeadweightLimit
    Indicates that one entity imposes or possesses a smaller minimum allowable deadweight (weight threshold) compared to another entity.
  • C. minimumMass chosen
    Indicates the smallest mass value that an entity or system is required, allowed, or observed to have within a given context.
  • D. weightLimitLowerBoundLb
    Indicates the minimum allowable weight, expressed in pounds, that satisfies a specified limit or constraint.
  • E. weightLimitLowerBoundKg
    Indicates the minimum allowable weight, in kilograms, that satisfies a specified limit or constraint.
  • 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_69f349d25cbc8190869998de5915886b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fee0b2da3c8190a3519d0564f2f32d completed May 9, 2026, 7:22 a.m.
PD Predicate disambiguation batch_69fee05b315c819081dfcbfb15273487 completed May 9, 2026, 7:20 a.m.
Created at: May 1, 2026, 2:03 a.m.