Triple

T13754628
Position Surface form Disambiguated ID Type / Status
Subject Donau-Ries E330443 entity
Predicate containsMunicipality P852 FINISHED
Object Deiningen
Deiningen is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
E1060503 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: Deiningen | Statement: [Donau-Ries, containsMunicipality, Deiningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deiningen
Context triple: [Donau-Ries, containsMunicipality, Deiningen]
  • A. Ertingen
    Ertingen is a municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • B. Engstingen
    Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
  • C. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Siegsdorf
    Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
  • E. Dietingen
    Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
  • 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: Deiningen
Triple: [Donau-Ries, containsMunicipality, Deiningen]
Generated description
Deiningen is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deiningen
Target entity description: Deiningen is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • A. Ertingen
    Ertingen is a municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • B. Engstingen
    Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
  • C. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Siegsdorf
    Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
  • E. Dietingen
    Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02179c948190a652cc8c586e418f completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a859e6748190aa1899830a02b710 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a91deb3c8190ad2be7f1ca99ac9b completed May 3, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69f7ad51c6808190afa80fc3622399bf completed May 3, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:09 p.m.