Triple

T6160294
Position Surface form Disambiguated ID Type / Status
Subject Duke Michael of Strelsau E137422 entity
Predicate residence P75 FINISHED
Object Strelsau E153161 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: Strelsau | Statement: [Duke Michael of Strelsau, residence, Strelsau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strelsau
Context triple: [Duke Michael of Strelsau, residence, Strelsau]
  • A. Strelsau chosen
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • D. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • E. Dalstroi
    Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d35b2f88190abb9b90b5971e6d7 completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518ee96c48190afe3f42477f38856 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:17 p.m.