Triple

T951830
Position Surface form Disambiguated ID Type / Status
Subject Aosta Valley E20538 entity
Predicate largestCity P235 FINISHED
Object Aosta E110150 NE FINISHED

How this triple was built (2 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: Aosta | Statement: [Aosta Valley, largestCity, Aosta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aosta
Context triple: [Aosta Valley, largestCity, Aosta]
  • A. Aosta chosen
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • B. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • C. Aosta Valley
    Aosta Valley is a mountainous autonomous region in northwestern Italy, renowned for its Alpine landscapes, ski resorts, and proximity to major peaks such as Mont Blanc.
  • D. Cernobbio
    Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
  • E. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d757d08190a475cf47febd05ae completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac599117d48190b329ec50b9a632fc completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:40 p.m.