Triple

T19940280
Position Surface form Disambiguated ID Type / Status
Subject Simon Marius E479289 entity
Predicate opposedModel P95906 FINISHED
Object Copernican heliocentrism 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: Copernican heliocentrism | Statement: [Simon Marius, opposedModel, Copernican heliocentrism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedModel
Context triple: [Simon Marius, opposedModel, Copernican heliocentrism]
  • A. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • B. theoryOpposed chosen
    Indicates that one theory stands in opposition to, or conflicts with, another theory.
  • C. opposedApproach
    Indicates that one entity actively disagrees with, resists, or works against the method, strategy, or course of action proposed or taken by another entity.
  • D. opposedProject
    Indicates that an entity actively resisted, disagreed with, or worked against a particular project.
  • E. opposedFocus
    Indicates that one entity’s focus, attention, or emphasis is directed in opposition to, or in contrast with, the focus 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a1a8df4819094e84855465df6c0 completed April 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.