Triple

T16186586
Position Surface form Disambiguated ID Type / Status
Subject Mariko Svanidze E392819 entity
Predicate placeOfDeath P21 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: [Mariko Svanidze, placeOfDeath, Tiflis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiflis
Context triple: [Mariko Svanidze, placeOfDeath, 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. Kabilasi
    Kabilasi is a municipality-level town located in southeastern Nepal’s Madhesh Province, near the border with India.
  • D. Tskhinvali
    Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
  • E. 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.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22061f47481909ededd5eed40f5a4 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f183d88190b269233ff6e65d75 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:02 a.m.