Triple

T5222772
Position Surface form Disambiguated ID Type / Status
Subject Province of Verona E117909 entity
Predicate hasUNESCOSite P2499 FINISHED
Object City of Verona 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: City of Verona | Statement: [Province of Verona, hasUNESCOSite, City of Verona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Verona
Context triple: [Province of Verona, hasUNESCOSite, City of Verona]
  • 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. Mantua
    Mantua is a historic city in northern Italy’s Lombardy region, renowned for its Renaissance architecture, artistic heritage, and former status as the seat of the Gonzaga dynasty.
  • D. Mantua
    Mantua is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to major universities and cultural institutions.
  • E. Mantua
    Mantua is a small Cuban town and municipality located in the western part of Pinar del Río Province.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abba82881908c030ba55146b8ea completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff852bc81908467a343c5ded404 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.