Triple

T13972593
Position Surface form Disambiguated ID Type / Status
Subject Elbling E336100 entity
Predicate cultivationCountryShare P56227 FINISHED
Object primarilyGermanyAndLuxembourg 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: primarilyGermanyAndLuxembourg | Statement: [Elbling, cultivationCountryShare, primarilyGermanyAndLuxembourg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cultivationCountryShare
Context triple: [Elbling, cultivationCountryShare, primarilyGermanyAndLuxembourg]
  • A. cultivatedInCountry chosen
    Indicates that something (such as a crop, plant, or organism) is grown or produced through cultivation within the specified country.
  • B. widelyCultivatedIn
    Indicates that something is grown extensively or on a large scale within a particular place or region.
  • C. cultivatedBy
    Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
  • D. cultivatedInContinent
    Indicates that something (typically a crop or organism) is grown or cultivated within the geographic boundaries of a specified continent.
  • E. cultivatedFor
    Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69dd465a21408190b912a42c50ffa0d9 completed April 13, 2026, 7:39 p.m.
Created at: April 9, 2026, 10:18 p.m.