Triple

T7047503
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Westphalia E163676 entity
Predicate lostTerritory P356 FINISHED
Object Town of Soest in the Soest Feud E509434 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: Town of Soest in the Soest Feud | Statement: [Duchy of Westphalia, lostTerritory, Town of Soest in the Soest Feud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Soest in the Soest Feud
Context triple: [Duchy of Westphalia, lostTerritory, Town of Soest in the Soest Feud]
  • A. Imperial City of Soest chosen
    The Imperial City of Soest was a significant medieval free imperial city in present-day North Rhine-Westphalia, Germany, known for its strategic location and economic importance in the Holy Roman Empire.
  • B. Bad Lauchstädt
    Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
  • C. Schwerte
    Schwerte is a town in North Rhine-Westphalia, Germany, known as a small industrial and commuter community near Dortmund.
  • D. Siegburg
    Siegburg is a historic town in North Rhine-Westphalia, Germany, known for its medieval abbey and location near Bonn and Cologne.
  • E. Bad Rothenfelde
    Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24c4004819086002bfe55502374 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887e6e50819088c23c9b45861a54 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.