Triple

T17121238
Position Surface form Disambiguated ID Type / Status
Subject Kármán line E415469 entity
Predicate hasApproximatePressure P126046 FINISHED
Object about 0.0003 atmospheres 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: about 0.0003 atmospheres | Statement: [Kármán line, hasApproximatePressure, about 0.0003 atmospheres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximatePressure
Context triple: [Kármán line, hasApproximatePressure, about 0.0003 atmospheres]
  • A. hasPressureSphere
    Indicates a relationship where an entity possesses or is associated with a defined region or volume characterized by a specific pressure condition.
  • B. hasHumanPressure
    Indicates that one entity exerts or experiences human-induced influence, stress, or impact in relation to another entity or environment.
  • C. hasGroundPressure
    Indicates that an entity exerts a specific amount of pressure on the ground or surface it is in contact with.
  • D. hasShiftPressureFrom
    Indicates that one entity experiences or is subjected to shift-related pressure originating from another entity.
  • E. surfacePressure
    Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69e35d6d20808190a38bb32e2294bc48 completed April 18, 2026, 10:31 a.m.
PDg Predicate description generation batch_69e37542d060819082aa73948eb8ebd4 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:36 a.m.