Triple

T4226645
Position Surface form Disambiguated ID Type / Status
Subject Sergo Zakariadze E94474 entity
Predicate placeOfDeath P21 FINISHED
Object Tbilisi 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: Tbilisi | Statement: [Sergo Zakariadze, placeOfDeath, Tbilisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tbilisi
Context triple: [Sergo Zakariadze, placeOfDeath, Tbilisi]
  • 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. Zugdidi
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • D. Mtskheta
    Mtskheta is an ancient town in central Georgia and a UNESCO World Heritage Site, renowned as one of the country’s oldest continuously inhabited cities and a historic center of Georgian Christianity.
  • E. Tskhinvali
    Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4ed34c819081d1479ce87cd78c completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a831b0408190a0862803844d779d completed March 14, 2026, 6:25 p.m.
Created at: March 12, 2026, 11:04 p.m.