Triple

T3525342
Position Surface form Disambiguated ID Type / Status
Subject Kaposvár E74524 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 (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.
  • C. Veron
    Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
  • D. Padua
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • E. Perugia, Italy
    Perugia, Italy is a historic hilltop city in central Italy’s Umbria region, renowned for its medieval architecture, universities, and annual cultural festivals such as Umbria Jazz and Eurochocolate.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6a8d0c819094d38b9c47fb67b4 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44eeb831481909f9def02fe995c69 completed March 13, 2026, 5:52 p.m.
Created at: March 8, 2026, 3:19 p.m.