Triple

T10380517
Position Surface form Disambiguated ID Type / Status
Subject Desenzano del Garda E244625 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Sirmione E459391 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: Sirmione | Statement: [Desenzano del Garda, hasNeighboringMunicipality, Sirmione]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirmione
Context triple: [Desenzano del Garda, hasNeighboringMunicipality, Sirmione]
  • A. Sirmione chosen
    Sirmione is a picturesque Italian resort town on a narrow peninsula in Lake Garda, renowned for its medieval Scaliger Castle, Roman ruins, and thermal spas.
  • B. Monfalcone
    Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
  • C. Marostica
    Marostica is a historic town in northeastern Italy renowned for its medieval castle and life-sized human chess game played in the main square.
  • D. Sacile
    Sacile is a historic town in northeastern Italy’s Friuli Venezia Giulia region, known for its picturesque river setting and strategic importance in various military conflicts.
  • E. Caerano di San Marco
    Caerano di San Marco is a municipality in the Veneto region of northern Italy, known for its role in the local footwear and sportswear industry.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fba398b88190ae3223218bf53ca7 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:03 p.m.