Triple

T3131343
Position Surface form Disambiguated ID Type / Status
Subject Hans-Hermann Hoppe E65419 entity
Predicate placeOfBirth P1 FINISHED
Object Peine
Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
E345903 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: Peine | Statement: [Hans-Hermann Hoppe, placeOfBirth, Peine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peine
Context triple: [Hans-Hermann Hoppe, placeOfBirth, Peine]
  • A. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • B. Werre
    The Werre is a river in North Rhine-Westphalia, Germany, that flows through towns such as Detmold and Herford before joining the Weser.
  • C. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • D. Lauch River
    The Lauch River is a small waterway in northeastern France that flows through the historic city of Colmar, contributing to its picturesque canals and “Little Venice” district.
  • E. Warnow River
    The Warnow River is a waterway in northeastern Germany that flows through the city of Rostock before emptying into the Baltic Sea.
  • 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: Peine
Triple: [Hans-Hermann Hoppe, placeOfBirth, Peine]
Generated description
Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peine
Target entity description: Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
  • A. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • B. Werre
    The Werre is a river in North Rhine-Westphalia, Germany, that flows through towns such as Detmold and Herford before joining the Weser.
  • C. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • D. Lauch River
    The Lauch River is a small waterway in northeastern France that flows through the historic city of Colmar, contributing to its picturesque canals and “Little Venice” district.
  • E. Warnow River
    The Warnow River is a waterway in northeastern Germany that flows through the city of Rostock before emptying into the Baltic Sea.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b27a088190b20b3f4404c02c32 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2f8f8d26c8190b0e8c46dd2846ef3 completed March 12, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69b3081b9ca481909843bed69e47af53 completed March 12, 2026, 6:38 p.m.
Created at: March 8, 2026, 3:04 p.m.