Triple

T37240152
Position Surface form Disambiguated ID Type / Status
Subject Wine of Origin system E923689 entity
Predicate regionExample P202116 FINISHED
Object Stellenbosch 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: Stellenbosch | Statement: [Wine of Origin system, regionExample, Stellenbosch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionExample
Context triple: [Wine of Origin system, regionExample, Stellenbosch]
  • A. regionIs
    Indicates that one entity is located within, belongs to, or is associated with a specified geographic or administrative region.
  • B. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
  • C. regionException
    Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
  • D. regionSub
    Indicates that one region is a subregion or contained part of another, larger region.
  • E. regionOfCity
    Indicates that a specified area or district is a constituent part or subdivision of a particular city.
  • F. None of above. chosen

Provenance (4 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_69f76ea9fee88190a589f661d95a7189 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a005247dba08190acadf962bcefe4a0 completed May 10, 2026, 9:39 a.m.
PD Predicate disambiguation batch_6a00519029848190a234358dfba45084 completed May 10, 2026, 9:36 a.m.
PDg Predicate description generation batch_6a00524723408190b0294e87e5cf7715 completed May 10, 2026, 9:39 a.m.
Created at: May 3, 2026, 4:15 p.m.