Triple

T2611271
Position Surface form Disambiguated ID Type / Status
Subject Kostroma Oblast E58778 entity
Predicate containsCity P294 FINISHED
Object Buy E281344 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: Buy | Statement: [Kostroma Oblast, containsCity, Buy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buy
Context triple: [Kostroma Oblast, containsCity, Buy]
  • A. Buy chosen
    Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
  • B. Zákupy
    Zákupy is a small historic town in the Liberec Region of the Czech Republic, known for its Renaissance-Baroque chateau and its association with the Habsburg dynasty.
  • C. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • D. Deal
    Deal is a historic coastal town and former fishing and mining port in the county of Kent in southeast England, known for its pier, maritime heritage, and role in coastal defense.
  • E. Sale
    Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90817f8c81908c3792bd406c5ce6 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.