Triple

T7607557
Position Surface form Disambiguated ID Type / Status
Subject La Spezia E180145 entity
Predicate near P350 FINISHED
Object Portovenere E494849 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: Portovenere | Statement: [La Spezia, near, Portovenere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portovenere
Context triple: [La Spezia, near, Portovenere]
  • A. Portovenere chosen
    Portovenere is a picturesque seaside village in northwestern Italy known for its colorful harborfront houses, medieval architecture, and dramatic cliffs overlooking the Ligurian Sea.
  • B. Portoferraio
    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.
  • C. Calvi
    Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
  • D. 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.
  • E. Lerici
    Lerici is a picturesque coastal town on Italy’s Ligurian Riviera, known for its historic castle, scenic harbor, and literary associations with poets like Percy Bysshe Shelley.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6fa1de8a4819091f9e9347835ce16 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a20f6a288190befdc1063e4aa72c completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:54 p.m.