Triple

T18672883
Position Surface form Disambiguated ID Type / Status
Subject Likani Trail E456525 entity
Predicate partOf P40 FINISHED
Object Borjomi area NE NERFINISHED

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: Borjomi area | Statement: [Likani Trail, partOf, Borjomi area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borjomi area
Context triple: [Likani Trail, partOf, Borjomi area]
  • A. Borjomi
    Borjomi is a Georgian resort town famous for its mineral water springs and scenic location in the Borjomi Gorge.
  • B. Borjomi Municipality chosen
    Borjomi Municipality is an administrative district in central Georgia, known for its spa town of Borjomi and the surrounding Borjomi-Kharagauli National Park.
  • C. Gudauri
    Gudauri is a popular ski resort town in the Greater Caucasus Mountains of Georgia, known for its high-altitude slopes and freeride opportunities.
  • D. Bolnisi
    Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
  • 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 (2 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b34fd881909f1b049a325d8826 completed April 19, 2026, 10:26 p.m.
Created at: April 10, 2026, 11:48 a.m.