Triple

T4589238
Position Surface form Disambiguated ID Type / Status
Subject Saint Catherine of Alexandria E103441 entity
Predicate scholarlyStatusInLegend P58166 FINISHED
Object highly educated 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: highly educated | Statement: [Saint Catherine of Alexandria, scholarlyStatusInLegend, highly educated]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarlyStatusInLegend
Context triple: [Saint Catherine of Alexandria, scholarlyStatusInLegend, highly educated]
  • A. scholarlyView
    Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
  • B. isScholarly
    Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
  • C. scholarlyUse
    Indicates that something is used for academic, educational, or research-related purposes.
  • D. hasTheoreticalStatus
    Indicates that something possesses a particular theoretical standing, classification, or role within a conceptual or theoretical framework.
  • E. roleInScholarlyCommunication
    Indicates the function or position an entity holds within the processes of producing, evaluating, disseminating, or preserving scholarly work.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592232888190af33c47636ca835d completed March 20, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69bd522acbcc8190bf24d9517793a2c1 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56b4a9508190acdb888eef18f1ee completed March 20, 2026, 2:16 p.m.
Created at: March 20, 2026, 1:11 p.m.