Triple

T11512151
Position Surface form Disambiguated ID Type / Status
Subject Province of Florence E272939 entity
Predicate contains P35 FINISHED
Object Scandicci E748679 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: Scandicci | Statement: [Province of Florence, contains, Scandicci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandicci
Context triple: [Province of Florence, contains, Scandicci]
  • A. Scandicci chosen
    Scandicci is a town in central Italy located just southwest of Florence, known as a residential and industrial area within the Tuscan metropolitan region.
  • B. Casalecchio di Reno
    Casalecchio di Reno is a town in northern Italy, situated near Bologna and known as a residential and industrial center along the Reno River.
  • C. Prato
    Prato is a historic Tuscan city in central Italy known for its textile industry, medieval architecture, and cultural heritage.
  • D. Faenza
    Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
  • E. Prato della Valle
    Prato della Valle is a vast elliptical square in Padua, Italy, known as one of the largest public squares in Europe and famed for its central island, surrounding canal, and ring of statues.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db7af688190b68668eb39d382a8 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f49c7ab48c8190a7cf4e6be6aacc12 completed May 1, 2026, 12:28 p.m.
Created at: April 8, 2026, 9:36 p.m.