Triple

T657501
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasSubdivision P747 FINISHED
Object Mistelfeld
Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
E84781 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: Mistelfeld | Statement: [Lichtenfels, hasSubdivision, Mistelfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mistelfeld
Context triple: [Lichtenfels, hasSubdivision, Mistelfeld]
  • A. Hereweald
    Hereweald is an Old English personal name meaning “army ruler,” from which the later given name Harold is derived.
  • B. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • E. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • 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: Mistelfeld
Triple: [Lichtenfels, hasSubdivision, Mistelfeld]
Generated description
Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mistelfeld
Target entity description: Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • A. Hereweald
    Hereweald is an Old English personal name meaning “army ruler,” from which the later given name Harold is derived.
  • B. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • E. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc95ec20819082117e90f032d381 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5e4149e388190962aaf860aba5938 completed March 2, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69a600246a388190b85742ffe7404b79 completed March 2, 2026, 9:24 p.m.
Created at: March 1, 2026, 7:36 p.m.