Triple

T7167585
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Imola E167109 entity
Predicate associatedWith P37 FINISHED
Object city of Imola E212999 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 Imola | Statement: [Bishop of Imola, associatedWith, city of Imola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Imola
Context triple: [Bishop of Imola, associatedWith, city of Imola]
  • A. Imola chosen
    Imola is a historic city in Italy’s Emilia-Romagna region, best known for its Formula One racing circuit, the Autodromo Enzo e Dino Ferrari.
  • B. town of Finale Emilia
    Finale Emilia is a historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and location in the fertile Po Valley.
  • C. 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.
  • D. Casalecchio di Reno
    Casalecchio di Reno is a town in northern Italy, situated near Bologna and known as a residential and industrial center along the Reno River.
  • E. Faenza
    Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85b4410819098c6531229da51d4 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adced6b48190bcae9af88f640584 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:48 p.m.