Triple

T26034756
Position Surface form Disambiguated ID Type / Status
Subject Darcy’s law E647520 entity
Predicate permeabilityUnit P6008 FINISHED
Object square metre 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: square metre | Statement: [Darcy’s law, permeabilityUnit, square metre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: permeabilityUnit
Context triple: [Darcy’s law, permeabilityUnit, square metre]
  • A. permeability
    Indicates how easily a substance, material, or barrier allows another substance (such as a fluid, gas, or signal) to pass through it.
  • B. natureOfUnit
    Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
  • C. unitOfResistance
    Indicates that one entity represents a unit used to measure electrical resistance of another entity.
  • D. typeOfUnit chosen
    Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
  • E. porosity
    Indicates the degree to which a material or structure contains voids or pores relative to its total volume.
  • 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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6061d145c8190bd51d69f0cdabd07 completed May 2, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 22, 2026, 9:07 a.m.