Triple

T2808324
Position Surface form Disambiguated ID Type / Status
Subject Hutterites E54105 entity
Predicate subgroup P10 FINISHED
Object Lehrerleut
Lehrerleut is one of the main branches of the Hutterite Anabaptist communities, known for its communal lifestyle and conservative religious practices.
 E299033 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: Lehrerleut | Statement: [Hutterites, subgroup, Lehrerleut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lehrerleut
Context triple: [Hutterites, subgroup, Lehrerleut]
  • A. Leermens
    Leermens is a small village in the province of Groningen in the northern Netherlands.
  • B. Lehr und Kunst
    Lehr und Kunst is the German-language motto of Worcester Polytechnic Institute, reflecting its emphasis on the integration of learning and practical application.
  • C. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • D. Lesse
    The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
  • E. Reedus
    Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
  • 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: Lehrerleut
Triple: [Hutterites, subgroup, Lehrerleut]
Generated description
Lehrerleut is one of the main branches of the Hutterite Anabaptist communities, known for its communal lifestyle and conservative religious practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lehrerleut
Target entity description: Lehrerleut is one of the main branches of the Hutterite Anabaptist communities, known for its communal lifestyle and conservative religious practices.
  • A. Leermens
    Leermens is a small village in the province of Groningen in the northern Netherlands.
  • B. Lehr und Kunst
    Lehr und Kunst is the German-language motto of Worcester Polytechnic Institute, reflecting its emphasis on the integration of learning and practical application.
  • C. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • D. Lesse
    The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
  • E. Reedus
    Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2fdcf88190a52e515c166ea8f7 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc678d6488190be73244b7e78f30c completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc79deb2081908b0bfa5f14395503 completed March 10, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69afc82ac1148190a254415e336ba1e3 completed March 10, 2026, 7:28 a.m.
Created at: March 6, 2026, 9:59 p.m.