Triple

T9171798
Position Surface form Disambiguated ID Type / Status
Subject Province of Lucca E220097 entity
Predicate contains P35 FINISHED
Object Forte dei Marmi E48211 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: Forte dei Marmi | Statement: [Province of Lucca, contains, Forte dei Marmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forte dei Marmi
Context triple: [Province of Lucca, contains, Forte dei Marmi]
  • A. Forte dei Marmi chosen
    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.
  • B. Portovenere
    Portovenere is a picturesque seaside village in northwestern Italy known for its colorful harborfront houses, medieval architecture, and dramatic cliffs overlooking the Ligurian Sea.
  • C. Impruneta
    Impruneta is a town in the Tuscany region of central Italy, situated in the hills just south of Florence and known for its terracotta production and scenic countryside.
  • D. Marina di Pisa
    Marina di Pisa is a coastal town in Tuscany, Italy, known as a seaside resort near Pisa on the Ligurian Sea.
  • E. Marina di Campo
    Marina di Campo is a coastal town on the Italian island of Elba, known for its long sandy beach and role as a popular tourist destination in the Tuscan Archipelago.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c077f008190ba1bcd82b3fe9a1d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:22 p.m.