Triple

T10871371
Position Surface form Disambiguated ID Type / Status
Subject Forte Lorenese E256661 entity
Predicate locatedIn P40 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: [Forte Lorenese, locatedIn, Forte dei Marmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forte dei Marmi
Context triple: [Forte Lorenese, locatedIn, 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75186e75c8190bf046ea666faff54 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2168b4ba48190b68955ec17a5607b completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:21 p.m.