Triple

T8778289
Position Surface form Disambiguated ID Type / Status
Subject Pforzheim E208654 entity
Predicate twinTown P1072 FINISHED
Object Vicenza E63542 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: Vicenza | Statement: [Pforzheim, twinTown, Vicenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicenza
Context triple: [Pforzheim, twinTown, Vicenza]
  • A. Vicenza chosen
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • B. Treviso
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • C. Villafranca di Verona
    Villafranca di Verona is a town in northern Italy’s Veneto region, historically notable as the site where the 1859 Armistice of Villafranca was signed during the Second Italian War of Independence.
  • 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. Verona
    Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7b08488190ba276e7b665e3ea4 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:42 p.m.