Triple

T21787943
Position Surface form Disambiguated ID Type / Status
Subject Sudbury Neutrino Observatory E537889 entity
Predicate primaryScientificFocus P96519 FINISHED
Object solar neutrinos 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: solar neutrinos | Statement: [Sudbury Neutrino Observatory, primaryScientificFocus, solar neutrinos]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryScientificFocus
Context triple: [Sudbury Neutrino Observatory, primaryScientificFocus, solar neutrinos]
  • A. disciplinaryFocus
    Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
  • B. primarySubjectArea chosen
    Indicates the main academic or topical field to which something (such as a work, course, or resource) is most centrally related.
  • C. hasScientificInterestIn
    Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
  • D. regionOfAcademicFocus
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • E. researchFocusSince
    Indicates the point in time since which an entity has maintained a particular research focus or area of study.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621c68588190977891055e80a499 completed April 28, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69e6be751ce881909badced245ef76c7 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:52 p.m.