Triple

T17613965
Position Surface form Disambiguated ID Type / Status
Subject Po Plain E429034 entity
Predicate majorCity P316 FINISHED
Object Bologna NE NERFINISHED

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: Bologna | Statement: [Po Plain, majorCity, Bologna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bologna
Context triple: [Po Plain, majorCity, Bologna]
  • A. Bologna chosen
    Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
  • B. Bolonia
    Bolonia is a small coastal village and beach on Spain’s southern Atlantic coast, known for its natural dunes and nearby Roman ruins of Baelo Claudia.
  • C. Parma
    Parma is a historic city in northern Italy renowned for its rich artistic heritage, architecture, and culinary traditions, including Parmigiano Reggiano cheese and Parma ham.
  • D. Parma
    Parma is a suburban city located just southwest of Cleveland in northeastern Ohio, known as one of the largest cities in Cuyahoga County.
  • E. Modena
    Modena is a historic city in northern Italy’s Emilia-Romagna region, renowned for its balsamic vinegar, automotive heritage with Ferrari and Maserati, and its Romanesque cathedral and UNESCO-listed city center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2fd96481908c9f3b566fca6907 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.