Triple

T1926963
Position Surface form Disambiguated ID Type / Status
Subject Kakhetians E40853 entity
Predicate associatedWithCity P1481 FINISHED
Object Kvareli E148498 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: Kvareli | Statement: [Kakhetians, associatedWithCity, Kvareli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvareli
Context triple: [Kakhetians, associatedWithCity, Kvareli]
  • A. Kvareli chosen
    Kvareli is a town in eastern Georgia’s Kakheti region, known for its wine production, historic fortress, and scenic location in the Alazani Valley near the Caucasus Mountains.
  • B. Dusheti
    Dusheti is a small historic town in eastern Georgia known for its mountainous surroundings and traditional architecture.
  • C. Ambrolauri
    Ambrolauri is a small town in western Georgia that serves as the administrative center of the Racha region, known for its mountainous scenery and local wine production.
  • D. Pshavi
    Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
  • E. Kobuleti
    Kobuleti is a Georgian Black Sea resort town known for its long pebble beaches and role as a popular holiday destination in the autonomous region of Adjara.
  • 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_69adfbb2cc988190a4046c17c8389996 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.