Triple

T17516405
Position Surface form Disambiguated ID Type / Status
Subject Semigallia E426578 entity
Predicate historicalNameInGerman P22792 FINISHED
Object Semgallen
Semgallen is the German name for Semigallia, a historical region in the Baltic area largely corresponding to parts of present-day Latvia and Lithuania.
E1273760 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: Semgallen | Statement: [Semigallia, historicalNameInGerman, Semgallen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semgallen
Context triple: [Semigallia, historicalNameInGerman, Semgallen]
  • A. Salvenach
    Salvenach is a former municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the town of Murten.
  • B. Gaulsheim
    Gaulsheim is a district of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
  • C. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • D. Sennfeld
    Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
  • E. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • 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: Semgallen
Triple: [Semigallia, historicalNameInGerman, Semgallen]
Generated description
Semgallen is the German name for Semigallia, a historical region in the Baltic area largely corresponding to parts of present-day Latvia and Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Semgallen
Target entity description: Semgallen is the German name for Semigallia, a historical region in the Baltic area largely corresponding to parts of present-day Latvia and Lithuania.
  • A. Salvenach
    Salvenach is a former municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the town of Murten.
  • B. Gaulsheim
    Gaulsheim is a district of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
  • C. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • D. Sennfeld
    Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
  • E. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4526097388190ba1a949064962a24 completed April 19, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c93ede288190af2fd8ae8826a855 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01ca84f3388190aa2eda694f91a17b completed May 11, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a01cb0b3cec8190afc6cf6dd1e4d896 completed May 11, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:49 a.m.