Triple

T18325090
Position Surface form Disambiguated ID Type / Status
Subject Port of Bastia E438983 entity
Predicate locatedIn P40 FINISHED
Object Bastia 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: Bastia | Statement: [Port of Bastia, locatedIn, Bastia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bastia
Context triple: [Port of Bastia, locatedIn, Bastia]
  • A. Bastia chosen
    Bastia is a major port city in northeastern Corsica, France, known for its historic old town, bustling harbor, and role as an economic and cultural hub of the island.
  • B. Ajaccio
    Ajaccio is a coastal city on the French island of Corsica, best known as the birthplace of Napoleon Bonaparte and now a popular Mediterranean tourist destination.
  • C. Porto-Vecchio
    Porto-Vecchio is a popular seaside resort town in southern Corsica, France, known for its picturesque old port, historic citadel, and nearby white-sand beaches.
  • D. Cargèse
    Cargèse is a coastal village on the west coast of Corsica, France, known for its Greek heritage, twin churches, and scenic Mediterranean setting.
  • E. Villefranche-sur-Mer
    Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aaa66ac819082ec718e8329e0cc completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.