Triple

T2145678
Position Surface form Disambiguated ID Type / Status
Subject Vera Rubin E47058 entity
Predicate significantContribution P477 FINISHED
Object observational evidence for the existence of dark matter 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: observational evidence for the existence of dark matter | Statement: [Vera Rubin, significantContribution, observational evidence for the existence of dark matter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantContribution
Context triple: [Vera Rubin, significantContribution, observational evidence for the existence of dark matter]
  • A. notableContribution chosen
    Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
  • B. notableContributionField
    Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
  • C. significantRevisionIn
    Indicates that one entity represents a substantial or important change made within another entity, such as a major update or revision occurring in a larger work or version.
  • D. significance
    Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
  • E. scopeOfContribution
    Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeaa14bc81908486683decd7ae42 completed March 7, 2026, 5:59 a.m.
PD Predicate disambiguation batch_69abbd9846e88190b6c2941dd9ce7749 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.