Triple

T21179294
Position Surface form Disambiguated ID Type / Status
Subject Šilutė E521901 entity
Predicate historicalName P65 FINISHED
Object Heydekrug
Heydekrug is the former German name of the Lithuanian town now known as Šilutė, historically part of East Prussia.
E1472356 NE FINISHED

How this triple was built (4 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: Heydekrug | Statement: [Šilutė, historicalName, Heydekrug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heydekrug
Context triple: [Šilutė, historicalName, Heydekrug]
  • A. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • B. Wilsdruff
    Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Heydekrug
Triple: [Šilutė, historicalName, Heydekrug]
Generated description
Heydekrug is the former German name of the Lithuanian town now known as Šilutė, historically part of East Prussia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heydekrug
Target entity description: Heydekrug is the former German name of the Lithuanian town now known as Šilutė, historically part of East Prussia.
  • A. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • B. Wilsdruff
    Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • F. None of above. chosen

Provenance (5 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301b41908190bc104aa748a0346d completed April 21, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ec296708190b6b30d9a9fae811e completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3 p.m.