Triple

T4848593
Position Surface form Disambiguated ID Type / Status
Subject Tbilisi International Airport E108354 entity
Predicate locatedIn P40 FINISHED
Object Kvemo Kartli E41297 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: Kvemo Kartli | Statement: [Tbilisi International Airport, locatedIn, Kvemo Kartli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvemo Kartli
Context triple: [Tbilisi International Airport, locatedIn, Kvemo Kartli]
  • A. Kvemo Kartli chosen
    Kvemo Kartli is a region in southeastern Georgia known for its ethnically diverse population, agricultural production, and industrial centers such as Rustavi.
  • B. Shida Kartli
    Shida Kartli is a central region of Georgia known for its historical significance and agricultural production, with Gori as one of its main cities.
  • C. Kakheti
    Kakheti is a historic region in eastern Georgia renowned as the country’s primary wine-producing area and a center of Georgian cultural heritage.
  • D. Kartli
    Kartli is a historic central region of Georgia that has long been a political and cultural heartland for the Georgian people.
  • E. Samegrelo-Zemo Svaneti
    Samegrelo-Zemo Svaneti is a mountainous region in western Georgia known for its historic Svan towers, rich Megrelian and Svan cultures, and dramatic Caucasus landscapes.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1c5594819094fe021d7717032d completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04c81380881908409ff4518140467 completed March 22, 2026, 8:09 p.m.
Created at: March 20, 2026, 1:25 p.m.