Triple

T11457558
Position Surface form Disambiguated ID Type / Status
Subject Gargano Peninsula E271568 entity
Predicate hasTown P847 FINISHED
Object Vieste E924264 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: Vieste | Statement: [Gargano Peninsula, hasTown, Vieste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vieste
Context triple: [Gargano Peninsula, hasTown, Vieste]
  • A. Vieste chosen
    Vieste is a coastal town and popular seaside resort on Italy’s Gargano Peninsula, known for its whitewashed historic center, dramatic sea cliffs, and sandy beaches.
  • B. Nyland
    Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
  • C. Sortavala
    Sortavala is a historic town in the Republic of Karelia in northwestern Russia, known for its location on the northern shore of Lake Ladoga and its mix of Finnish and Russian cultural heritage.
  • D. Vestre
    Vestre is a Norwegian surname most notably associated with Jan Christian Vestre, a prominent Norwegian politician and businessman.
  • E. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c71b1208190be1d5623d18e0222 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3e197c881909db2e4e59c61c3c3 completed April 20, 2026, 7:21 a.m.
Created at: April 8, 2026, 9:35 p.m.