Triple

T16358277
Position Surface form Disambiguated ID Type / Status
Subject Niko Pirosmanashvili E397241 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: [Niko Pirosmanashvili, placeOfDeath, Tbilisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tbilisi
Context triple: [Niko Pirosmanashvili, 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. Kabilasi
    Kabilasi is a municipality-level town located in southeastern Nepal’s Madhesh Province, near the border with India.
  • D. Zugdidi
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • E. 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.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad1859c819082b47bf9d7fabd9f completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002d9c35248190a5540a692503c989 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:07 a.m.