Triple

T10256204
Position Surface form Disambiguated ID Type / Status
Subject Lodi E240472 entity
Predicate localDialect P1762 FINISHED
Object Lodigiano E374430 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: Lodigiano | Statement: [Lodi, localDialect, Lodigiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodigiano
Context triple: [Lodi, localDialect, Lodigiano]
  • A. Lodigiano chosen
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • B. Bussolengo
    Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
  • C. Lodigiani
    Lodigiani is a former Italian football club based in Rome, known for its strong youth academy that produced several notable players.
  • D. Sabbioneta
    Sabbioneta is a Renaissance-era planned town in northern Italy renowned for its well-preserved urban layout, architecture, and cultural heritage.
  • E. Treviglio
    Treviglio is a historic town in northern Italy’s Lombardy region, known for its medieval center, agricultural traditions, and role as a local commercial and transport hub.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24d299881909615872e2777bdea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e33a0088190b1cad6ada8beb345 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:30 a.m.