Triple

T1926704
Position Surface form Disambiguated ID Type / Status
Subject Khashuri Municipality E40848 entity
Predicate partOf P40 FINISHED
Object Shida Kartli E7704 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: Shida Kartli | Statement: [Khashuri Municipality, partOf, Shida Kartli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shida Kartli
Context triple: [Khashuri Municipality, partOf, Shida Kartli]
  • A. Shida Kartli chosen
    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. Kvemo Kartli
    Kvemo Kartli is a region in southeastern Georgia known for its ethnically diverse population, agricultural production, and industrial centers such as Rustavi.
  • C. Kartli
    Kartli is a historic central region of Georgia that has long been a political and cultural heartland for the Georgian people.
  • D. 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.
  • E. Mtskheta-Mtianeti
    Mtskheta-Mtianeti is a mountainous region in northeastern Georgia known for its historic towns, including the ancient capital Mtskheta, and its role as a cultural and religious 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb261ef8481909be2390ac5a02622 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8342b7688190a626b4f5d3b3807d completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:35 p.m.