Triple

T86782
Position Surface form Disambiguated ID Type / Status
Subject Tiflis Governorate E1744 entity
Predicate borderedBy P224 FINISHED
Object Kutais Governorate E7705 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: Kutais Governorate | Statement: [Tiflis Governorate, borderedBy, Kutais Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutais Governorate
Context triple: [Tiflis Governorate, borderedBy, Kutais Governorate]
  • A. Kutaisi chosen
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • B. Amenia
    Amenia is a small rural town in eastern Dutchess County, New York, known for its scenic Hudson Valley landscapes and historic character.
  • C. Livadia
    Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
  • D. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • E. Yalta Municipality
    Yalta Municipality is an administrative district on the southern coast of the Crimean Peninsula that includes the resort city of Yalta and surrounding settlements.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f50e004819083f5bfccd597a312 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e4880c81908f39d69fbeb8f61a completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.