Triple

T5646922
Position Surface form Disambiguated ID Type / Status
Subject Bedford E124406 entity
Predicate hasTwinTown P919 FINISHED
Object Rovigo E289648 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: Rovigo | Statement: [Bedford, hasTwinTown, Rovigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rovigo
Context triple: [Bedford, hasTwinTown, Rovigo]
  • A. Rovigo chosen
    Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
  • B. Cesena
    Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
  • C. 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.
  • D. Treviso
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • E. Trento
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022abf0108190b10b3a9fe1688bf9 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24381aff48190980ada94ee95593e completed March 24, 2026, 7:55 a.m.
Created at: March 22, 2026, 3:41 p.m.