Triple

T13657827
Position Surface form Disambiguated ID Type / Status
Subject Les Trois Vallées E326907 entity
Predicate hasResort P4287 FINISHED
Object La Tania
La Tania is a purpose-built, family-friendly ski resort village in the French Alps that forms part of the vast Les Trois Vallées ski area.
 E1052590 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: La Tania | Statement: [Les Trois Vallées, hasResort, La Tania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Tania
Context triple: [Les Trois Vallées, hasResort, La Tania]
  • A. Marliana
    Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
  • B. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • C. El Tiante
    El Tiante is the famous nickname of Cuban-born Major League Baseball pitcher Luis Tiant, renowned for his distinctive delivery and success with the Boston Red Sox in the 1970s.
  • D. Die Alte Dame
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • E. La Dama
    La Dama is a small village on the island of La Gomera in Spain’s Canary Islands, known for its rural character and coastal banana plantations.
  • 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: La Tania
Triple: [Les Trois Vallées, hasResort, La Tania]
Generated description
La Tania is a purpose-built, family-friendly ski resort village in the French Alps that forms part of the vast Les Trois Vallées ski area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Tania
Target entity description: La Tania is a purpose-built, family-friendly ski resort village in the French Alps that forms part of the vast Les Trois Vallées ski area.
  • A. Marliana
    Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
  • B. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • C. El Tiante
    El Tiante is the famous nickname of Cuban-born Major League Baseball pitcher Luis Tiant, renowned for his distinctive delivery and success with the Boston Red Sox in the 1970s.
  • D. Die Alte Dame
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • E. La Dama
    La Dama is a small village on the island of La Gomera in Spain’s Canary Islands, known for its rural character and coastal banana plantations.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61d56e4819084ae3c16ecdf4a05 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b06c5d081909d31b8a537c94edb completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.