Triple

T13754620
Position Surface form Disambiguated ID Type / Status
Subject Donau-Ries E330443 entity
Predicate containsMunicipality P852 FINISHED
Object Mertingen
Mertingen is a municipality in the Donau-Ries district of Bavaria in southern Germany, known for its rural character and proximity to the Danube River.
E1061689 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: Mertingen | Statement: [Donau-Ries, containsMunicipality, Mertingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mertingen
Context triple: [Donau-Ries, containsMunicipality, Mertingen]
  • A. Menzingen
    Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
  • B. Engstingen
    Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
  • C. Heimertingen
    Heimertingen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
  • D. Mergentheim
    Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
  • E. Münsingen
    Münsingen is a Swiss municipality in the canton of Bern, known for its scenic location in the Aare valley between Bern and Thun.
  • 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: Mertingen
Triple: [Donau-Ries, containsMunicipality, Mertingen]
Generated description
Mertingen is a municipality in the Donau-Ries district of Bavaria in southern Germany, known for its rural character and proximity to the Danube River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mertingen
Target entity description: Mertingen is a municipality in the Donau-Ries district of Bavaria in southern Germany, known for its rural character and proximity to the Danube River.
  • A. Menzingen
    Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
  • B. Engstingen
    Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
  • C. Heimertingen
    Heimertingen is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
  • D. Mergentheim
    Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
  • E. Münsingen
    Münsingen is a Swiss municipality in the canton of Bern, known for its scenic location in the Aare valley between Bern and Thun.
  • 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_69f7b06d9fd48190a10b86a0d68fac70 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b11b824881909ed068c7d608d956 completed May 3, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:09 p.m.