Triple

T6583214
Position Surface form Disambiguated ID Type / Status
Subject Saterland E157352 entity
Predicate containsSettlement P847 FINISHED
Object Strücklingen
Strücklingen is a village in the municipality of Saterland in Lower Saxony, northwestern Germany.
E611874 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: Strücklingen | Statement: [Saterland, containsSettlement, Strücklingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strücklingen
Context triple: [Saterland, containsSettlement, Strücklingen]
  • A. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Stühlingen
    Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
  • D. Wolmirstedt
    Wolmirstedt is a small town in the German state of Saxony-Anhalt, located near Magdeburg and known for its historical town center and regional administrative role.
  • E. Zerbst
    Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
  • 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: Strücklingen
Triple: [Saterland, containsSettlement, Strücklingen]
Generated description
Strücklingen is a village in the municipality of Saterland in Lower Saxony, northwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Strücklingen
Target entity description: Strücklingen is a village in the municipality of Saterland in Lower Saxony, northwestern Germany.
  • A. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Stühlingen
    Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
  • D. Wolmirstedt
    Wolmirstedt is a small town in the German state of Saxony-Anhalt, located near Magdeburg and known for its historical town center and regional administrative role.
  • E. Zerbst
    Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae938184819088234aad9cc997e1 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78896b48190a8d993c207d01a7e completed March 27, 2026, 9:32 p.m.
NEDg Description generation batch_69c6f8f4b20481908c741d2decdf56d3 completed March 27, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69c6f99273cc81909d1d3160e79261a0 completed March 27, 2026, 9:41 p.m.
Created at: March 27, 2026, 1:54 p.m.