Triple

T9090327
Position Surface form Disambiguated ID Type / Status
Subject Kaposvár E217864 entity
Predicate hasTwinTown P919 FINISHED
Object Verona, Italy E118557 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: Verona, Italy | Statement: [Kaposvár, hasTwinTown, Verona, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verona, Italy
Context triple: [Kaposvár, hasTwinTown, Verona, Italy]
  • A. Verona chosen
    Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
  • B. Verona
    Verona is a small borough in Allegheny County, Pennsylvania, situated along the Allegheny River just northeast of Pittsburgh.
  • C. Verona (town)
    Verona is a suburban town in south-central Wisconsin, United States, known for its proximity to Madison and its mix of residential communities, parks, and local businesses.
  • D. Veron
    Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
  • E. Villafranca di Verona
    Villafranca di Verona is a town in northern Italy’s Veneto region, historically notable as the site where the 1859 Armistice of Villafranca was signed during the Second Italian War of Independence.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3017a7c8190a7182acc7831d09b completed April 4, 2026, 10:08 a.m.
Created at: March 30, 2026, 7:14 p.m.