Triple

T4831541
Position Surface form Disambiguated ID Type / Status
Subject Kalle Lasn E107956 entity
Predicate birthPlace P1 FINISHED
Object Tallinn, Estonia E20558 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: Tallinn, Estonia | Statement: [Kalle Lasn, birthPlace, Tallinn, Estonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallinn, Estonia
Context triple: [Kalle Lasn, birthPlace, Tallinn, Estonia]
  • A. Tallinn chosen
    Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
  • B. Tartu
    Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
  • C. Liepāja, Latvia
    Liepāja is a major port city on Latvia’s Baltic Sea coast, known for its historic architecture, naval heritage, and cultural life.
  • 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. Helsinki
    Helsinki is the capital and largest city of Finland, known for its coastal location on the Baltic Sea, modern design, and vibrant cultural life.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cb748d081908fc32b2cea994b35 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:24 p.m.