Triple

T17181697
Position Surface form Disambiguated ID Type / Status
Subject roentgen (unit) E416996 entity
Predicate measurementContext P110189 FINISHED
Object ionization chambers 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: ionization chambers | Statement: [roentgen (unit), measurementContext, ionization chambers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: measurementContext
Context triple: [roentgen (unit), measurementContext, ionization chambers]
  • A. measurement
    Indicates a relationship where one entity quantifies or assigns a value to some property, attribute, or extent of another entity according to a defined scale or standard.
  • B. measurementSetting chosen
    Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
  • C. measureType
    Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
  • D. measurementOrganization
    Indicates that one entity serves as the organization responsible for performing, managing, or overseeing the measurement of another entity or process.
  • E. measureOf
    Indicates that one entity serves as a quantitative or qualitative assessment or metric describing a property, extent, or magnitude of another entity.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc1187808190aeaa0d0e6487957e completed April 18, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69e383141ae0819096acd71683637cbc completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:37 a.m.