Triple

T8245251
Position Surface form Disambiguated ID Type / Status
Subject Teflon E192834 entity
Predicate frictionCoefficient P29146 FINISHED
Object veryLowCoefficientOfFriction 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: veryLowCoefficientOfFriction | Statement: [Teflon, frictionCoefficient, veryLowCoefficientOfFriction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frictionCoefficient
Context triple: [Teflon, frictionCoefficient, veryLowCoefficientOfFriction]
  • A. dragCoefficient
    Indicates the dimensionless proportionality factor that relates the drag force experienced by an object moving through a fluid to its shape, flow conditions, and reference area.
  • B. coefficientProperty chosen
    Indicates a relationship where one entity serves as a coefficient or scalar factor that quantitatively modifies or characterizes another entity or property.
  • C. mechanicalProperty
    Indicates a relationship where a mechanical characteristic (such as strength, stiffness, hardness, or elasticity) is attributed to or associated with an entity.
  • D. windResistance
    Indicates the degree to which an entity opposes or reduces the effect of wind acting upon it.
  • E. transmissionFactor
    Indicates how strongly or efficiently something is passed or transmitted from one entity to another.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7872f6d481909ea1d3c2aad1a2b1 completed March 31, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69cb36b437e881909958591357e83b9d completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:48 p.m.