Triple

T18213703
Position Surface form Disambiguated ID Type / Status
Subject Fraubrunnen E436096 entity
Predicate hasMunicipalityMerger P80558 FINISHED
Object Mülchi
Mülchi was a former small municipality in the canton of Bern, Switzerland, that has since been incorporated into the larger municipality of Fraubrunnen.
E1312517 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: Mülchi | Statement: [Fraubrunnen, hasMunicipalityMerger, Mülchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mülchi
Context triple: [Fraubrunnen, hasMunicipalityMerger, Mülchi]
  • A. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • B. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • C. Mützel
    Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
  • D. Morolo
    Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
  • E. Mamula
    Mamula is a small fortified island in the Adriatic Sea off the coast of Montenegro, known for its 19th-century Austro-Hungarian fortress and former use as a prison.
  • 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: Mülchi
Triple: [Fraubrunnen, hasMunicipalityMerger, Mülchi]
Generated description
Mülchi was a former small municipality in the canton of Bern, Switzerland, that has since been incorporated into the larger municipality of Fraubrunnen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mülchi
Target entity description: Mülchi was a former small municipality in the canton of Bern, Switzerland, that has since been incorporated into the larger municipality of Fraubrunnen.
  • A. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • B. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • C. Mützel
    Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
  • D. Morolo
    Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
  • E. Mamula
    Mamula is a small fortified island in the Adriatic Sea off the coast of Montenegro, known for its 19th-century Austro-Hungarian fortress and former use as a prison.
  • 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_6a039f17334c81909bc1d27bf1119502 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:32 a.m.