Triple

T86780
Position Surface form Disambiguated ID Type / Status
Subject Tiflis Governorate E1744 entity
Predicate namedAfter P63 FINISHED
Object Tiflis E1744 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: Tiflis | Statement: [Tiflis Governorate, namedAfter, Tiflis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiflis
Context triple: [Tiflis Governorate, namedAfter, Tiflis]
  • A. Tiflis Governorate chosen
    Tiflis Governorate was an administrative region of the Russian Empire in the South Caucasus, centered on the city of Tiflis (now Tbilisi, Georgia).
  • B. Erivan Governorate
    Erivan Governorate was an administrative division of the Russian Empire in the South Caucasus, centered on the city of Erivan (modern Yerevan) and largely corresponding to present-day western Armenia.
  • C. Volgograd
    Volgograd is a major city in southwestern Russia on the Volga River, historically known as Stalingrad and renowned as the site of one of World War II’s most pivotal and brutal battles.
  • D. Sevastopol
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • E. Feodosia
    Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
  • 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_69a2b85cc6b881909e2c13e70b24d934 completed Feb. 28, 2026, 9:41 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.