Triple

T315997
Position Surface form Disambiguated ID Type / Status
Subject Caucasus Viceroyalty E7707 entity
Predicate capital P234 FINISHED
Object Tiflis E19766 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: [Caucasus Viceroyalty, capital, Tiflis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiflis
Context triple: [Caucasus Viceroyalty, capital, Tiflis]
  • A. Tbilisi chosen
    Tbilisi is the largest city and cultural, political, and economic center of Georgia, located on the banks of the Kura River in the South Caucasus.
  • B. Batumi
    Batumi is a major Black Sea resort city in southwestern Georgia known for its beaches, modern skyline, and role as a regional economic and cultural hub.
  • C. Vladikavkaz
    Vladikavkaz is a major city in the North Caucasus region of Russia, serving as the capital of the Republic of North Ossetia–Alania and an important cultural and industrial center.
  • D. Tiflis Governorate
    Tiflis Governorate was an administrative region of the Russian Empire in the South Caucasus, centered on the city of Tiflis (now Tbilisi, Georgia).
  • E. Grozny
    Grozny is the capital and largest city of the Chechen Republic in southwestern Russia, known for its turbulent recent history and extensive post-war reconstruction.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d23f2fa48190a07ee8ae1ab0cd5c completed March 1, 2026, 5:44 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.