Triple

T13230651
Position Surface form Disambiguated ID Type / Status
Subject Murten E315007 entity
Predicate officialName P66 FINISHED
Object Morat
Morat is the French name for the bilingual Swiss town of Murten, located on the shores of Lake Murten in the canton of Fribourg.
 E1028981 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: Morat | Statement: [Murten, officialName, Morat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morat
Context triple: [Murten, officialName, Morat]
  • A. Morat
    Morat is a small, lesser-known Caribbean island that forms part of Honduras’s Bay Islands archipelago.
  • B. Soler
    Soler is a Spanish surname most notably associated with individuals in the arts, sports, and public life, including musicians, composers, and athletes.
  • C. Rosalia
    Rosalia is a character in the musical "West Side Story," depicted as a young Puerto Rican woman who is part of the Sharks' community.
  • D. Rosalia
    Rosalia is a feminine given name of Latin origin, commonly associated with the rose and used in various European cultures.
  • E. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • 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: Morat
Triple: [Murten, officialName, Morat]
Generated description
Morat is the French name for the bilingual Swiss town of Murten, located on the shores of Lake Murten in the canton of Fribourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morat
Target entity description: Morat is the French name for the bilingual Swiss town of Murten, located on the shores of Lake Murten in the canton of Fribourg.
  • A. Morat
    Morat is a small, lesser-known Caribbean island that forms part of Honduras’s Bay Islands archipelago.
  • B. Soler
    Soler is a Spanish surname most notably associated with individuals in the arts, sports, and public life, including musicians, composers, and athletes.
  • C. Rosalia
    Rosalia is a character in the musical "West Side Story," depicted as a young Puerto Rican woman who is part of the Sharks' community.
  • D. Rosalia
    Rosalia is a feminine given name of Latin origin, commonly associated with the rose and used in various European cultures.
  • E. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2c07488190ad07c544cca63a7d completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70408b2088190989c3b38a5d66495 completed May 3, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69f70518acc0819089a987abfd42f928 completed May 3, 2026, 8:19 a.m.
Created at: April 9, 2026, 9:21 p.m.