Triple

T13333594
Position Surface form Disambiguated ID Type / Status
Subject რუსთავი E317630 entity
Predicate nearbyCity P350 FINISHED
Object გარდაბანი
გარდაბანი არის ქალაქი სამხრეთ-აღმოსავლეთ საქართველოში, ქვემო ქართლის რეგიონში, რომელიც ცნობილია როგორც მნიშვნელოვანი ენერგეტიკული და სამრეწველო ცენტრი.
 E1035252 NE FINISHED

How this triple was built (4 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: გარდაბანი | Statement: [რუსთავი, nearbyCity, გარდაბანი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: გარდაბანი
Context triple: [რუსთავი, nearbyCity, გარდაბანი]
  • A. 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.
  • B. Abastumani
    Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
  • C. Tavaeli
    Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • D. Tsinandali
    Tsinandali is a renowned Georgian white wine appellation from the Kakheti region, known for its dry, aromatic wines typically made from Rkatsiteli and Mtsvane grapes.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: გარდაბანი
Triple: [რუსთავი, nearbyCity, გარდაბანი]
Generated description
გარდაბანი არის ქალაქი სამხრეთ-აღმოსავლეთ საქართველოში, ქვემო ქართლის რეგიონში, რომელიც ცნობილია როგორც მნიშვნელოვანი ენერგეტიკული და სამრეწველო ცენტრი.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: გარდაბანი
Target entity description: გარდაბანი არის ქალაქი სამხრეთ-აღმოსავლეთ საქართველოში, ქვემო ქართლის რეგიონში, რომელიც ცნობილია როგორც მნიშვნელოვანი ენერგეტიკული და სამრეწველო ცენტრი.
  • A. 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.
  • B. Abastumani
    Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
  • C. Tavaeli
    Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • D. Tsinandali
    Tsinandali is a renowned Georgian white wine appellation from the Kakheti region, known for its dry, aromatic wines typically made from Rkatsiteli and Mtsvane grapes.
  • 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. chosen

Provenance (5 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f36e4cc819093007404ceb5da31 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f72126765481908ef6e6ae7349bd30 completed May 3, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69f7221af9e881908b65ab2e7aec0c78 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:30 p.m.