Triple

T18213701
Position Surface form Disambiguated ID Type / Status
Subject Fraubrunnen E436096 entity
Predicate hasMunicipalityMerger P80558 FINISHED
Object Grafenried
Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
E1333115 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: Grafenried | Statement: [Fraubrunnen, hasMunicipalityMerger, Grafenried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grafenried
Context triple: [Fraubrunnen, hasMunicipalityMerger, Grafenried]
  • A. Geretsried
    Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
  • B. Adelsried
    Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
  • C. Grafenrheinfeld
    Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
  • D. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • E. Neusäß
    Neusäß is a town in Bavaria, Germany, located just northwest of the city of Augsburg and functioning largely as a residential and commuter suburb.
  • 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: Grafenried
Triple: [Fraubrunnen, hasMunicipalityMerger, Grafenried]
Generated description
Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grafenried
Target entity description: Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • A. Geretsried
    Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
  • B. Adelsried
    Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
  • C. Grafenrheinfeld
    Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
  • D. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • E. Neusäß
    Neusäß is a town in Bavaria, Germany, located just northwest of the city of Augsburg and functioning largely as a residential and commuter suburb.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e475953c81909f792793ded2057e completed April 19, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05036848f081909f1f3eba56cf8a79 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05052b41bc819080284bc18db67d5b completed May 13, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0505cbc11481908e61d90dd64f6212 completed May 13, 2026, 11:14 p.m.
Created at: April 10, 2026, 10:32 a.m.