Triple

T19288573
Position Surface form Disambiguated ID Type / Status
Subject Nendaz E482378 entity
Predicate hasLocality P7943 FINISHED
Object Siviez
Siviez is a small alpine hamlet and ski hub in the Swiss canton of Valais, forming part of the Nendaz resort area within the 4 Vallées ski domain.
 E1367374 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: Siviez | Statement: [Nendaz, hasLocality, Siviez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siviez
Context triple: [Nendaz, hasLocality, Siviez]
  • A. Siviriez
    Siviriez is a municipality in the canton of Fribourg in western Switzerland, situated within the predominantly rural Glâne region.
  • B. Sivac
    Sivac is a village in the Vojvodina region of northern Serbia, known as one of the settlements within the municipality of Kula.
  • C. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • D. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • E. Sipe
    Sipe is a surname most notably associated with Brian Sipe, a former NFL quarterback for the Cleveland Browns.
  • 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: Siviez
Triple: [Nendaz, hasLocality, Siviez]
Generated description
Siviez is a small alpine hamlet and ski hub in the Swiss canton of Valais, forming part of the Nendaz resort area within the 4 Vallées ski domain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Siviez
Target entity description: Siviez is a small alpine hamlet and ski hub in the Swiss canton of Valais, forming part of the Nendaz resort area within the 4 Vallées ski domain.
  • A. Siviriez
    Siviriez is a municipality in the canton of Fribourg in western Switzerland, situated within the predominantly rural Glâne region.
  • B. Sivac
    Sivac is a village in the Vojvodina region of northern Serbia, known as one of the settlements within the municipality of Kula.
  • C. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • D. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • E. Sipe
    Sipe is a surname most notably associated with Brian Sipe, a former NFL quarterback for the Cleveland Browns.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc043fa481909bbe281a70fb508e completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e82fe948190a2a07dd91c982423 completed May 15, 2026, 12:16 p.m.
NEDg Description generation batch_6a070f5712548190bdbcf10b36983411 completed May 15, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_6a070fbb93308190acc8625a78477b07 completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:30 p.m.