Triple

T6806662
Position Surface form Disambiguated ID Type / Status
Subject Pshavi E156322 entity
Predicate administrativeCenterNearby P34698 FINISHED
Object Dusheti E115343 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: Dusheti | Statement: [Pshavi, administrativeCenterNearby, Dusheti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dusheti
Context triple: [Pshavi, administrativeCenterNearby, Dusheti]
  • A. Dusheti chosen
    Dusheti is a small historic town in eastern Georgia known for its mountainous surroundings and traditional architecture.
  • B. Tskhumi
    Tskhumi is the historical name of the city now known as Sukhumi, a major Black Sea port and the capital of the disputed region of Abkhazia.
  • C. Kvareli
    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.
  • D. Tavaeli
    Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • E. 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.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa27cec81909f45911ffa44ea6f completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.