Triple

T19927455
Position Surface form Disambiguated ID Type / Status
Subject Gldani E478962 entity
Predicate locatedIn P40 FINISHED
Object Tbilisi metropolitan area NE NERFINISHED

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 metropolitan area | Statement: [Gldani, locatedIn, Tbilisi metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tbilisi metropolitan area
Context triple: [Gldani, locatedIn, Tbilisi metropolitan area]
  • 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. Tbilisi region
    Tbilisi region is an administrative area of Georgia that encompasses the nation’s capital, Tbilisi, serving as its political, economic, and cultural center.
  • C. Marneuli
    Marneuli is a town in southern Georgia known for its ethnically diverse population, particularly its large Azerbaijani community, and its role as an agricultural and regional trade center.
  • 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. Zugdidi
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cc1a448190aa98d4a66022457e completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.