Triple

T17867805
Position Surface form Disambiguated ID Type / Status
Subject Morgex E446748 entity
Predicate hasBorderWith P224 FINISHED
Object Arvier
Arvier is a small mountain commune in Italy’s Aosta Valley, known for its alpine scenery and traditional wine production.
 E1292503 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: Arvier | Statement: [Morgex, hasBorderWith, Arvier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arvier
Context triple: [Morgex, hasBorderWith, Arvier]
  • A. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • B. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Corcelette
    Corcelette is a renowned vineyard site in the Morgon appellation of Beaujolais, known for producing structured, age-worthy Gamay wines.
  • E. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • 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: Arvier
Triple: [Morgex, hasBorderWith, Arvier]
Generated description
Arvier is a small mountain commune in Italy’s Aosta Valley, known for its alpine scenery and traditional wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arvier
Target entity description: Arvier is a small mountain commune in Italy’s Aosta Valley, known for its alpine scenery and traditional wine production.
  • A. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • B. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Corcelette
    Corcelette is a renowned vineyard site in the Morgon appellation of Beaujolais, known for producing structured, age-worthy Gamay wines.
  • E. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c6bfdb08190bb3eeeb9b8b09ad2 completed May 12, 2026, 11:18 a.m.
NEDg Description generation batch_6a030d85e91481908e6afd4a83d78ce8 completed May 12, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a030e6412dc81908b392bdf47934230 completed May 12, 2026, 11:26 a.m.
Created at: April 10, 2026, 10:17 a.m.