Triple

T6197301
Position Surface form Disambiguated ID Type / Status
Subject Senigallia E138540 entity
Predicate province P604 FINISHED
Object Ancona E75439 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: Ancona | Statement: [Senigallia, province, Ancona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ancona
Context triple: [Senigallia, province, Ancona]
  • A. Ancona chosen
    Ancona is a historic port city on Italy’s Adriatic coast, notable for its long-standing Jewish community and role as a commercial and cultural crossroads.
  • B. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • C. Pescara
    Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
  • D. Pesaro
    Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
  • E. Rovigo
    Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062508f5c8190a00291708a9a7de9 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fb2378081909f454539f82a0975 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:20 p.m.