Triple

T13691380
Position Surface form Disambiguated ID Type / Status
Subject Unterallgäu E328272 entity
Predicate containsMunicipality P852 FINISHED
Object Erkheim
Erkheim is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
E1058002 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: Erkheim | Statement: [Unterallgäu, containsMunicipality, Erkheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erkheim
Context triple: [Unterallgäu, containsMunicipality, Erkheim]
  • A. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • B. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • C. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • D. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • E. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • 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: Erkheim
Triple: [Unterallgäu, containsMunicipality, Erkheim]
Generated description
Erkheim is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erkheim
Target entity description: Erkheim is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
  • A. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • B. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • C. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • D. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • E. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4c52fc8190a93d05c24a8d1513 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f7a15f3c908190be380355972def6e completed May 3, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2234390819093814fd435f9c42c completed May 3, 2026, 7:29 p.m.
Created at: April 9, 2026, 9:53 p.m.