Triple

T9171077
Position Surface form Disambiguated ID Type / Status
Subject Plates of Ether E220079 entity
Predicate statusInLDSScholarship P86623 FINISHED
Object subject of historical and theological study 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: subject of historical and theological study | Statement: [Plates of Ether, statusInLDSScholarship, subject of historical and theological study]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInLDSScholarship
Context triple: [Plates of Ether, statusInLDSScholarship, subject of historical and theological study]
  • A. statusInKantScholarship
    Indicates the scholarly position, role, or standing that something or someone holds within the body of academic work on Kant.
  • B. hasScholarshipOn
    Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
  • C. scholarshipEquivalency
    Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
  • D. scholarshipType
    Indicates the specific category or kind of scholarship associated with an entity.
  • E. hasScholarships
    Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
PD Predicate disambiguation batch_69cc660761d88190ab6134b43b376964 completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc66d7bf648190b8bff5b584b84975 completed April 1, 2026, 12:29 a.m.
Created at: March 30, 2026, 7:22 p.m.