Triple

T7996100
Position Surface form Disambiguated ID Type / Status
Subject Saint-Raphaël, Var, France E186127 entity
Predicate twinnedWith P1072 FINISHED
Object Jūrmala E435829 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: Jūrmala | Statement: [Saint-Raphaël, Var, France, twinnedWith, Jūrmala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jūrmala
Context triple: [Saint-Raphaël, Var, France, twinnedWith, Jūrmala]
  • A. Jūrmala chosen
    Jūrmala is a popular Latvian resort city on the Gulf of Riga, known for its long sandy beaches, wooden architecture, and spa traditions.
  • B. Jelgava
    Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
  • C. Ventspils
    Ventspils is a port city on Latvia’s Baltic Sea coast known for its major ice-free harbor, oil and cargo terminals, and well-preserved historic center.
  • D. Vasai
    Vasai is a historic coastal town in western India, near Mumbai, known for its strategic importance under Portuguese and later British rule and as the site of the 1802 Treaty of Bassein.
  • E. Daugavpils
    Daugavpils is Latvia’s second-largest city, known as the birthplace of abstract expressionist painter Mark Rothko and for its multicultural heritage and 19th-century fortress.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c97968481908d261b3f0bd6b8e6 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe10d5eb081909f257390094de442 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.