Triple

T7188742
Position Surface form Disambiguated ID Type / Status
Subject becquerel E167633 entity
Predicate conversionToCurie P75650 FINISHED
Object 1 Bq = 2.7027×10^-11 Ci 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: 1 Bq = 2.7027×10^-11 Ci | Statement: [becquerel, conversionToCurie, 1 Bq = 2.7027×10^-11 Ci]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conversionToCurie
Context triple: [becquerel, conversionToCurie, 1 Bq = 2.7027×10^-11 Ci]
  • A. conversionName
    Indicates that one entity is the name or label assigned to a specific conversion event or conversion process associated with another entity.
  • B. ontologyId
    Indicates that there is an association between an entity and a specific ontology identifier that formally defines or classifies it within an ontology.
  • C. convertsTo
    Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
  • D. ontologyStatus
    Indicates the current state or condition of an entity within an ontology lifecycle (e.g., proposed, active, deprecated, or obsolete).
  • E. conversionUse
    Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e3d9188190ba2792098d76fb86 completed March 27, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69c6e752385c819096fbab55566ee2a8 completed March 27, 2026, 8:23 p.m.
PDg Predicate description generation batch_69c6e8b5f6508190af28e06a7959d717 completed March 27, 2026, 8:29 p.m.
Created at: March 27, 2026, 2:50 p.m.