Triple

T18659264
Position Surface form Disambiguated ID Type / Status
Subject Zeldovich approximation E456146 entity
Predicate lessAccurateInRegime P55826 FINISHED
Object strongly non-linear regime after shell crossing 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: strongly non-linear regime after shell crossing | Statement: [Zeldovich approximation, lessAccurateInRegime, strongly non-linear regime after shell crossing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lessAccurateInRegime
Context triple: [Zeldovich approximation, lessAccurateInRegime, strongly non-linear regime after shell crossing]
  • A. occursInRegime chosen
    Indicates that an event, process, or phenomenon takes place within a specific regime, context, or operating condition.
  • B. lengthRegime
    Indicates a specific range or category of length within which something operates, is measured, or is classified.
  • C. smallValueRegime
    Indicates that a quantity or parameter is within a range where its value is considered sufficiently small for a specific approximation, behavior, or regime to apply.
  • D. supportedRegime
    Indicates that an entity provided assistance, endorsement, or backing to a particular political regime or government in power.
  • E. lessSevereIn
    Indicates that one condition, event, or factor has a lower level of severity than another within a specified context.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550889580819090ceb0ea4c93acc7 completed April 19, 2026, 10 p.m.
PD Predicate disambiguation batch_69e478d85864819093cbad5ed9b54878 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:48 a.m.