Triple

T20538386
Position Surface form Disambiguated ID Type / Status
Subject Fetovaia Beach E504259 entity
Predicate isAccessibleFrom P1985 FINISHED
Object Portoferraio 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: Portoferraio | Statement: [Fetovaia Beach, isAccessibleFrom, Portoferraio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portoferraio
Context triple: [Fetovaia Beach, isAccessibleFrom, Portoferraio]
  • A. Portoferraio chosen
    Portoferraio is the main town and administrative center of the Italian island of Elba, known for its historic harbor and association with Napoleon’s exile.
  • 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. Porto Santo Stefano
    Porto Santo Stefano is a picturesque coastal town and main port on the Monte Argentario peninsula in Tuscany, Italy, known for its beaches, marina, and ferry connections to nearby islands.
  • D. 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.
  • E. Porto di Mare
    Porto di Mare is a Milan Metro station on Line 3 serving the southeastern area of the city.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29006008190aa1ee3224c75ff4b completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.