Triple

T15858877
Position Surface form Disambiguated ID Type / Status
Subject Teseo Tesei E384529 entity
Predicate placeOfBirth P1 FINISHED
Object Marina di Campo E523639 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: Marina di Campo | Statement: [Teseo Tesei, placeOfBirth, Marina di Campo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marina di Campo
Context triple: [Teseo Tesei, placeOfBirth, Marina di Campo]
  • A. Marina di Campo chosen
    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.
  • B. Marina di Pisa
    Marina di Pisa is a coastal town in Tuscany, Italy, known as a seaside resort near Pisa on the Ligurian Sea.
  • C. Porto Cervo
    Porto Cervo is an exclusive luxury seaside resort and marina on Sardinia’s Costa Smeralda, renowned for its upscale tourism, yachting scene, and high-end boutiques.
  • D. Sestri Levante
    Sestri Levante is a picturesque seaside town in northwestern Italy known for its scenic bays, sandy beaches, and historic old town along the Ligurian Riviera.
  • E. Diano Marina
    Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555956ec8190b13602a177e7a2bb completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03c8cb081908c18c7b2d143c4b4 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:50 a.m.