Triple

T14754278
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea trade routes E346688 entity
Predicate hasImportantPort P6498 FINISHED
Object Reval E196723 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: Reval | Statement: [Baltic Sea trade routes, hasImportantPort, Reval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reval
Context triple: [Baltic Sea trade routes, hasImportantPort, Reval]
  • A. Reval chosen
    Reval is the historical German name for Tallinn, the capital city and major port of present-day Estonia on the Baltic Sea.
  • 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. Valmiera
    Valmiera is a historic city in northern Latvia, situated on the Gauja River and known today as a regional economic and cultural center in the Vidzeme region.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.