Triple

T4109478
Position Surface form Disambiguated ID Type / Status
Subject Akhalkalaki E88536 entity
Predicate historicalRegion P915 FINISHED
Object Javakheti E18485 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: Javakheti | Statement: [Akhalkalaki, historicalRegion, Javakheti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javakheti
Context triple: [Akhalkalaki, historicalRegion, Javakheti]
  • A. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • B. Racha-Lechkhumi
    Racha-Lechkhumi is a historic mountainous region in northwestern Georgia known for its scenic landscapes, distinctive wines, and traditional Georgian culture.
  • C. Samtskhe-Javakheti chosen
    Samtskhe-Javakheti is a historical and cultural region in southern Georgia known for its mountainous landscapes, medieval fortresses, and ethnically diverse population.
  • D. Dusheti
    Dusheti is a small historic town in eastern Georgia known for its mountainous surroundings and traditional architecture.
  • E. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01da2b88819088a45401c0ec743a completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.