Triple

T3280159
Position Surface form Disambiguated ID Type / Status
Subject Sixt-Fer-à-Cheval E68852 entity
Predicate near P350 FINISHED
Object Samoëns
Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
E343876 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: Samoëns | Statement: [Sixt-Fer-à-Cheval, near, Samoëns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samoëns
Context triple: [Sixt-Fer-à-Cheval, near, Samoëns]
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Birkenes
    Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
  • E. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • 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: Samoëns
Triple: [Sixt-Fer-à-Cheval, near, Samoëns]
Generated description
Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samoëns
Target entity description: Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • C. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • D. Birkenes
    Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
  • E. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0166c8c81909cb0a580ef319be3 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e851d2bc8190ba887cd1c81c880d completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8e42ecc8190b81d1b64f9fba0c1 completed March 12, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69b2e954ec18819096f31feb9e985b6a completed March 12, 2026, 4:27 p.m.
Created at: March 8, 2026, 3:10 p.m.