Triple

T22455894
Position Surface form Disambiguated ID Type / Status
Subject Elbing Vocabulary E555113 entity
Predicate scholarlyRelevance P6966 FINISHED
Object primary source for Old Prussian 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: primary source for Old Prussian | Statement: [Elbing Vocabulary, scholarlyRelevance, primary source for Old Prussian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarlyRelevance
Context triple: [Elbing Vocabulary, scholarlyRelevance, primary source for Old Prussian]
  • A. isScholarly
    Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
  • B. scholarlyUse chosen
    Indicates that something is used for academic, educational, or research-related purposes.
  • C. scholarlyEmphasis
    Indicates a relationship where an entity focuses its academic attention, research, or analysis predominantly on a particular subject, theme, or area of study.
  • D. scholarlyView
    Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
  • E. hasScholarlyReception
    Indicates that a work has been the subject of scholarly analysis, discussion, or evaluation in academic or research contexts.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4f19708190a50f29598fb1a204 completed April 29, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:48 p.m.