Triple

T15407904
Position Surface form Disambiguated ID Type / Status
Subject Kalmückisches Wörterbuch E368509 entity
Predicate scholarlyCharacter P70075 FINISHED
Object academic 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: academic | Statement: [Kalmückisches Wörterbuch, scholarlyCharacter, academic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarlyCharacter
Context triple: [Kalmückisches Wörterbuch, scholarlyCharacter, academic]
  • A. scholarlyMilieu
    Indicates the intellectual or academic environment, context, or community within which a scholarly work, activity, or figure is situated.
  • B. hasAcademicCharacter chosen
    Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
  • 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. intellectualRole
    Indicates that an entity holds or performs a specific intellectual function, capacity, or responsibility in relation to another entity or work.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27b8cac8190bfa77698d53c5d1c completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:20 a.m.