Triple

T1004940
Position Surface form Disambiguated ID Type / Status
Subject Venice E21687 entity
Predicate governedBy P46 FINISHED
Object Comune di Venezia E21687 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: Comune di Venezia | Statement: [Venice, governedBy, Comune di Venezia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Venezia
Context triple: [Venice, governedBy, Comune di Venezia]
  • A. Venice
    Venice is a vibrant beachfront neighborhood on Los Angeles’s Westside known for its bohemian spirit, canals, boardwalk, and skate and surf culture.
  • B. Venice chosen
    Venice is a historic Italian city built on a network of canals in a lagoon of the Adriatic Sea, renowned for its unique architecture, art, and maritime heritage.
  • C. Vicenza
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b51303548190a5ee3c0797fc3245 completed March 1, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba7063c8190ba79e974cf38cdea completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.