Triple

T8029620
Position Surface form Disambiguated ID Type / Status
Subject Baltiysk E186943 entity
Predicate locatedWestOf P4239 FINISHED
Object Kaliningrad E19236 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: Kaliningrad | Statement: [Baltiysk, locatedWestOf, Kaliningrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaliningrad
Context triple: [Baltiysk, locatedWestOf, Kaliningrad]
  • A. Kaliningrad Oblast
    Kaliningrad Oblast is a Russian exclave on the Baltic Sea, situated between Poland and Lithuania, known for its strategic location and historic capital, Kaliningrad (formerly Königsberg).
  • B. Königsberg chosen
    Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
  • C. Tuapse
    Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
  • D. Kovrov
    Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
  • E. Cherepovets
    Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecf0f2c819091899211003c461e completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe4211bc8190a784c19f11f17a39 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:21 p.m.