Triple

T2394929
Position Surface form Disambiguated ID Type / Status
Subject Rimini E47626 entity
Predicate hasLandmark P105 FINISHED
Object Rimini Beach E47626 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: Rimini Beach | Statement: [Rimini, hasLandmark, Rimini Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rimini Beach
Context triple: [Rimini, hasLandmark, Rimini Beach]
  • A. Pescara beach
    Pescara beach is a long, sandy Adriatic coastline in the Italian city of Pescara, known for its lively promenade, beach clubs, and summer tourism.
  • B. Rimini chosen
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • C. Piombino
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • D. Calvi
    Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
  • E. Forte dei Marmi
    Forte dei Marmi is an upscale seaside resort town on the Tuscan coast of Italy, known for its sandy beaches, luxury villas, and popularity among affluent vacationers.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc879b1b88190be8d0337d9a17bd0 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3a3a2c8190a29b8ce47e40c3f8 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.