Triple

T236396
Position Surface form Disambiguated ID Type / Status
Subject Silesia E4833 entity
Predicate borderedBy P224 FINISHED
Object Lusatia E11465 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: Lusatia | Statement: [Silesia, borderedBy, Lusatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusatia
Context triple: [Silesia, borderedBy, Lusatia]
  • A. Pomerania
    Pomerania is a historical region on the southern coast of the Baltic Sea, now split between Poland and Germany, known for its strategic maritime location and distinct cultural heritage.
  • B. Austrian Silesia
    Austrian Silesia was a historical crown land of the Austrian Empire located in the eastern part of the Silesian region, now mostly within the Czech Republic and partly in Poland.
  • C. Prussian Silesia
    Prussian Silesia was the portion of the historical region of Silesia that came under the control of the Kingdom of Prussia and later formed part of the German Empire.
  • D. Saxony chosen
    Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
  • E. Lower Silesia
    Lower Silesia is a historical region in southwestern Poland known for its capital Wrocław, rich cultural heritage, and varied landscapes including mountains, forests, and spa towns.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccab7648190be6e4f5febc1e313 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a386155c0c8190baa1a1d5df15392e completed March 1, 2026, 12:19 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.