Triple

T9558028
Position Surface form Disambiguated ID Type / Status
Subject Veveyse district E230591 entity
Predicate contains P35 FINISHED
Object Semsales
Semsales is a Swiss municipality in the canton of Fribourg, situated in the Veveyse region of western Switzerland.
 E806450 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: Semsales | Statement: [Veveyse district, contains, Semsales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Semsales
Context triple: [Veveyse district, contains, Semsales]
  • A. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • B. SAL
    SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
  • C. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • D. SAL
    SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • E. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • 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: Semsales
Triple: [Veveyse district, contains, Semsales]
Generated description
Semsales is a Swiss municipality in the canton of Fribourg, situated in the Veveyse region of western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Semsales
Target entity description: Semsales is a Swiss municipality in the canton of Fribourg, situated in the Veveyse region of western Switzerland.
  • A. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • B. SAL
    SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
  • C. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • D. SAL
    SAL is the standard abbreviation for Salavat Yulaev Ufa, a professional ice hockey team based in Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • E. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.