Triple

T16472240
Position Surface form Disambiguated ID Type / Status
Subject Georgi E400091 entity
Predicate usageFrequencyInBulgaria P68012 FINISHED
Object very common 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: very common | Statement: [Georgi, usageFrequencyInBulgaria, very common]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usageFrequencyInBulgaria
Context triple: [Georgi, usageFrequencyInBulgaria, very common]
  • A. usesFrequency
    Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
  • B. usageAmong chosen
    Indicates how frequently or in what manner something is used within a particular group, context, or population.
  • C. frequencyInHungary
    Indicates how often something occurs or is present within the context of Hungary.
  • D. frequentlyVisitedBy
    Indicates that an entity is regularly or often visited by another entity.
  • E. oftenUse
    Indicates that one entity frequently or regularly uses, employs, or utilizes 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
PD Predicate disambiguation batch_69e22706b0588190a48a951c5211a617 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:11 a.m.