Triple

T27205369
Position Surface form Disambiguated ID Type / Status
Subject Coffee E683847 entity
Predicate historicallySpreadTo P88339 FINISHED
Object Europe NE NERFINISHED

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: Europe | Statement: [Coffee, historicallySpreadTo, Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallySpreadTo
Context triple: [Coffee, historicallySpreadTo, Europe]
  • A. historicalSpread chosen
    Indicates how something has expanded, diffused, or propagated across time and/or space throughout history.
  • B. historicallyProneTo
    Indicates that an entity has repeatedly or characteristically experienced or exhibited a particular condition, behavior, or event over a significant period in the past.
  • C. historicallyObservedIn
    Indicates that something has been recorded or documented as occurring, existing, or taking place within a particular historical context, period, or location.
  • D. historicallyCircumscribedBy
    Indicates that one entity’s historical existence, development, or significance is bounded, defined, or delimited by the historical context or period associated with another entity.
  • E. historicallyNativeTo
    Indicates that an entity has been originally or traditionally present in, or originating from, a particular place or region over a significant period in history.
  • 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_69eefad339a08190aeacb2a198f1a39b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69fd44474ed48190ac372e4c88d762ed completed May 8, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69fd41ef28a48190a66959be5c964461 completed May 8, 2026, 1:52 a.m.
Created at: April 27, 2026, 9:37 a.m.