Triple

T19340343
Position Surface form Disambiguated ID Type / Status
Subject Saanen E483737 entity
Predicate borderedBy P224 FINISHED
Object L’Etivaz
L’Etivaz is a Swiss alpine village in the canton of Vaud best known for producing the traditional hard cheese L’Etivaz AOP.
E1371255 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: L’Etivaz | Statement: [Saanen, borderedBy, L’Etivaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Etivaz
Context triple: [Saanen, borderedBy, L’Etivaz]
  • A. Nivaclé
    The Nivaclé are an indigenous people of the Gran Chaco region of South America, known for their distinct language, traditional subsistence practices, and rich cultural heritage.
  • B. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • C. Vassarette
    Vassarette is a lingerie and intimate apparel brand known for its affordable bras, panties, and shapewear sold primarily in mass-market retail channels.
  • D. Iviatim
    Iviatim is an alternative name for the Cahuilla language, a Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
  • E. Vivara
    Vivara is a small, crescent-shaped islet and nature reserve off the coast of Procida in the Bay of Naples, known for its rich biodiversity and archaeological remains.
  • 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: L’Etivaz
Triple: [Saanen, borderedBy, L’Etivaz]
Generated description
L’Etivaz is a Swiss alpine village in the canton of Vaud best known for producing the traditional hard cheese L’Etivaz AOP.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L’Etivaz
Target entity description: L’Etivaz is a Swiss alpine village in the canton of Vaud best known for producing the traditional hard cheese L’Etivaz AOP.
  • A. Nivaclé
    The Nivaclé are an indigenous people of the Gran Chaco region of South America, known for their distinct language, traditional subsistence practices, and rich cultural heritage.
  • B. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • C. Vassarette
    Vassarette is a lingerie and intimate apparel brand known for its affordable bras, panties, and shapewear sold primarily in mass-market retail channels.
  • D. Iviatim
    Iviatim is an alternative name for the Cahuilla language, a Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
  • E. Vivara
    Vivara is a small, crescent-shaped islet and nature reserve off the coast of Procida in the Bay of Naples, known for its rich biodiversity and archaeological remains.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61856c0948190a3166b3bf3810e43 completed April 20, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be916a881909afdc2b0811f4795 completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071c8a9dec8190a4fbb88736b73912 completed May 15, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_6a071e0e00208190a6e05266d5bc47e2 completed May 15, 2026, 1:22 p.m.
Created at: April 10, 2026, 1:33 p.m.