Triple

T2049919
Position Surface form Disambiguated ID Type / Status
Subject Schleswig-Holstein E45540 entity
Predicate containsRegion P285 FINISHED
Object Holstein E196215 NE 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: Holstein | Statement: [Schleswig-Holstein, containsRegion, Holstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holstein
Context triple: [Schleswig-Holstein, containsRegion, Holstein]
  • A. Holstein chosen
    Holstein is a historical region in what is now northern Germany, known for its role in the duchies of Schleswig and Holstein and its later incorporation into the state of Schleswig-Holstein.
  • B. Charolais
    Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
  • C. Ayrshire cattle
    Ayrshire cattle are a hardy, medium-sized dairy breed from southwest Scotland, renowned for their efficient milk production and adaptability to various climates and grazing conditions.
  • D. Limousin
    Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
  • E. Clydesdale
    Clydesdale is a largely rural area in South Lanarkshire, Scotland, known for its agricultural landscape, small towns, and historic association with the River Clyde.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98e10d48190bb96cd1f8ea3c08b completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2007386481908b46c7bc2db8e4dd completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.