Triple

T14577570
Position Surface form Disambiguated ID Type / Status
Subject Lake Baldegg E342095 entity
Predicate locatedInMunicipality P40 FINISHED
Object Hitzkirch
Hitzkirch is a municipality in the canton of Lucerne in central Switzerland, known for its scenic setting near Lake Baldegg.
E1111654 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: Hitzkirch | Statement: [Lake Baldegg, locatedInMunicipality, Hitzkirch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitzkirch
Context triple: [Lake Baldegg, locatedInMunicipality, Hitzkirch]
  • A. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • B. Lutzingen
    Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • D. Geroldswil
    Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • E. Nucingen
    Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
  • 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: Hitzkirch
Triple: [Lake Baldegg, locatedInMunicipality, Hitzkirch]
Generated description
Hitzkirch is a municipality in the canton of Lucerne in central Switzerland, known for its scenic setting near Lake Baldegg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hitzkirch
Target entity description: Hitzkirch is a municipality in the canton of Lucerne in central Switzerland, known for its scenic setting near Lake Baldegg.
  • A. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • B. Lutzingen
    Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • D. Geroldswil
    Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • E. Nucingen
    Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c57fa4819086912bdd2bda8b80 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd70f6d8c819086321ed4fa20a157 completed May 8, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_69fdd771cb188190b44d6e4903fa8f6e completed May 8, 2026, 12:30 p.m.
Created at: April 10, 2026, 1:24 a.m.