Triple

T18627592
Position Surface form Disambiguated ID Type / Status
Subject Cogne E455323 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Lillaz
Lillaz is a small alpine village in Italy’s Aosta Valley, known for its scenic waterfalls and proximity to the Gran Paradiso National Park.
 E1335039 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: Lillaz | Statement: [Cogne, hasNearbyLocality, Lillaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lillaz
Context triple: [Cogne, hasNearbyLocality, Lillaz]
  • A. Sallaz
    Sallaz is a metro station on Lausanne’s M2 line in Switzerland, serving the surrounding residential and commercial area.
  • B. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Cazaux
    Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
  • E. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • 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: Lillaz
Triple: [Cogne, hasNearbyLocality, Lillaz]
Generated description
Lillaz is a small alpine village in Italy’s Aosta Valley, known for its scenic waterfalls and proximity to the Gran Paradiso National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lillaz
Target entity description: Lillaz is a small alpine village in Italy’s Aosta Valley, known for its scenic waterfalls and proximity to the Gran Paradiso National Park.
  • A. Sallaz
    Sallaz is a metro station on Lausanne’s M2 line in Switzerland, serving the surrounding residential and commercial area.
  • B. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Cazaux
    Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
  • E. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0581f0819083c1aba9fb85f6a7 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d7a6f048190832624811bb8e2ea completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a05102a5ba481908d94f38540ed9fc8 completed May 13, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0510ae8a208190abd0209218dbe2f5 completed May 14, 2026, midnight
Created at: April 10, 2026, 11:46 a.m.