Triple

T5361202
Position Surface form Disambiguated ID Type / Status
Subject Ossetia E103023 entity
Predicate borderedBy P224 FINISHED
Object Kartli region E15356 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: Kartli region | Statement: [Ossetia, borderedBy, Kartli region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kartli region
Context triple: [Ossetia, borderedBy, Kartli region]
  • A. 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.
  • B. Kartli chosen
    Kartli is a historic central region of Georgia that has long been a political and cultural heartland for the Georgian people.
  • C. Kartli-Kakheti
    Kartli-Kakheti was an 18th-century eastern Georgian kingdom that served as the political and cultural center of Georgia before its annexation by the Russian Empire.
  • D. Kvemo Kartli
    Kvemo Kartli is a region in southeastern Georgia known for its ethnically diverse population, agricultural production, and industrial centers such as Rustavi.
  • E. Imereti region of Georgia
    The Imereti region of Georgia is a historic western area centered around the city of Kutaisi, known for its rich cultural heritage, monasteries, caves, and scenic 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775058c388190bba04cff5dba997a completed March 28, 2026, 6:28 a.m.
Created at: March 20, 2026, 2:02 p.m.