Triple

T8813554
Position Surface form Disambiguated ID Type / Status
Subject Oberwiederstedt E209722 entity
Predicate mergedInto P77 FINISHED
Object Arnstein
Arnstein is a town in the Mansfeld-Südharz district of Saxony-Anhalt, Germany, formed through the merger of several smaller municipalities.
E758104 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: Arnstein | Statement: [Oberwiederstedt, mergedInto, Arnstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnstein
Context triple: [Oberwiederstedt, mergedInto, Arnstein]
  • A. Eisenberg
    Eisenberg is a small town in the German state of Thuringia that serves as an administrative and cultural center for its surrounding rural district.
  • B. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • C. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • D. Bergensten
    Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
  • E. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • 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: Arnstein
Triple: [Oberwiederstedt, mergedInto, Arnstein]
Generated description
Arnstein is a town in the Mansfeld-Südharz district of Saxony-Anhalt, Germany, formed through the merger of several smaller municipalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arnstein
Target entity description: Arnstein is a town in the Mansfeld-Südharz district of Saxony-Anhalt, Germany, formed through the merger of several smaller municipalities.
  • A. Eisenberg
    Eisenberg is a small town in the German state of Thuringia that serves as an administrative and cultural center for its surrounding rural district.
  • B. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • C. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • D. Bergensten
    Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
  • E. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff02e9c819080a8e45ba9ca044e completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fb26b148190b66b7138cdf9c97b completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:45 p.m.