Triple

T22572402
Position Surface form Disambiguated ID Type / Status
Subject Piazza Pola E558106 entity
Predicate locatedIn P40 FINISHED
Object Ragusa Ibla NE NERFINISHED

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: Ragusa Ibla | Statement: [Piazza Pola, locatedIn, Ragusa Ibla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragusa Ibla
Context triple: [Piazza Pola, locatedIn, Ragusa Ibla]
  • A. Ragusa
    Ragusa is a historic Adriatic port city, now known as Dubrovnik in Croatia, renowned for its maritime trade and well-preserved medieval architecture.
  • B. Ragusa chosen
    Ragusa is a historic baroque hilltop city in southeastern Sicily, Italy, renowned for its UNESCO-listed old town and distinctive architecture.
  • C. Ragusa
    Ragusa is the family surname of American actress Paula Prentiss, known for her work in film and television during the 1960s and 1970s.
  • D. Modica
    Modica is a historic city in southeastern Sicily renowned for its rich Baroque architecture and cultural heritage.
  • E. Marina di Ragusa
    Marina di Ragusa is a popular seaside resort town on Sicily’s southern coast, known for its sandy beaches, modern marina, and vibrant summer nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fe958e881909b58a5439f2c6a35 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:52 p.m.