Triple

T4953291
Position Surface form Disambiguated ID Type / Status
Subject Heidenheim (district) E111218 entity
Predicate hasMunicipality P847 FINISHED
Object Gerstetten
Gerstetten is a municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
E498153 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: Gerstetten | Statement: [Heidenheim (district), hasMunicipality, Gerstetten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerstetten
Context triple: [Heidenheim (district), hasMunicipality, Gerstetten]
  • A. Söhnstetten
    Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
  • B. Hettstadt
    Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
  • C. Stetten
    Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern 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: Gerstetten
Triple: [Heidenheim (district), hasMunicipality, Gerstetten]
Generated description
Gerstetten is a municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gerstetten
Target entity description: Gerstetten is a municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
  • A. Söhnstetten
    Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
  • B. Hettstadt
    Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
  • C. Stetten
    Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
  • D. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfa8578c8190948a1597ebac3ca6 completed March 21, 2026, 5:04 p.m.
NEDg Description generation batch_69bed17485688190a0666b902e162564 completed March 21, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69bed1cae2cc819088d322c47945581b completed March 21, 2026, 5:13 p.m.
Created at: March 20, 2026, 1:31 p.m.