Triple

T20206364
Position Surface form Disambiguated ID Type / Status
Subject Bodenseekreis E493361 entity
Predicate hasMunicipality P847 FINISHED
Object Deggenhausertal
Deggenhausertal is a rural municipality in the Bodenseekreis district of Baden-Württemberg in southern Germany, known for its scenic valley landscape near Lake Constance.
E1428116 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: Deggenhausertal | Statement: [Bodenseekreis, hasMunicipality, Deggenhausertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deggenhausertal
Context triple: [Bodenseekreis, hasMunicipality, Deggenhausertal]
  • A. Haselbachtal
    Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
  • B. Klostertal
    Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
  • C. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • D. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • E. Löstertal
    Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
  • 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: Deggenhausertal
Triple: [Bodenseekreis, hasMunicipality, Deggenhausertal]
Generated description
Deggenhausertal is a rural municipality in the Bodenseekreis district of Baden-Württemberg in southern Germany, known for its scenic valley landscape near Lake Constance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deggenhausertal
Target entity description: Deggenhausertal is a rural municipality in the Bodenseekreis district of Baden-Württemberg in southern Germany, known for its scenic valley landscape near Lake Constance.
  • A. Haselbachtal
    Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
  • B. Klostertal
    Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
  • C. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • D. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • E. Löstertal
    Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d922ebc8190ae012da8ceba74dd completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08760273c08190a3652496eb62ae3d completed May 16, 2026, 1:49 p.m.
NEDg Description generation batch_6a087762f3b88190b1de1ae6d7123633 completed May 16, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a087834ea1c8190b1b94c70a807668a completed May 16, 2026, 1:59 p.m.
Created at: April 11, 2026, 11:38 p.m.