Triple

T17134302
Position Surface form Disambiguated ID Type / Status
Subject Val Camonica E415796 entity
Predicate hasMajorTown P316 FINISHED
Object Pisogne E872745 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: Pisogne | Statement: [Val Camonica, hasMajorTown, Pisogne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisogne
Context triple: [Val Camonica, hasMajorTown, Pisogne]
  • A. Pisogne chosen
    Pisogne is a picturesque town in northern Italy’s Lombardy region, known as a lakeside resort and historic gateway to the Val Camonica area.
  • B. Noviglio
    Noviglio is a small municipality in the Lombardy region of northern Italy, located near Milan and known for hosting the headquarters of the design company Kartell.
  • C. Desio
    Desio is an Italian surname most notably associated with Ardito Desio, a prominent geologist and mountaineer involved in the first successful ascent of K2.
  • D. Pescia
    Pescia is a historic Tuscan town in central Italy known for its paper production, floriculture, and medieval architecture.
  • E. Gargnano
    Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02cbb7881908aa69c3443d149d5 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.