Triple

T18208410
Position Surface form Disambiguated ID Type / Status
Subject Ushguli E435964 entity
Predicate language P15 FINISHED
Object Svan
Svan is a Kartvelian language spoken by the Svan people in the highland regions of Svaneti in northwestern Georgia.
 E1315687 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: Svan | Statement: [Ushguli, language, Svan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Svan
Context triple: [Ushguli, language, Svan]
  • A. Svan people
    The Svan people are an indigenous ethnic subgroup of Georgians from the remote, mountainous Svaneti region of northwestern Georgia, known for their distinct culture, traditions, and historical tower villages.
  • B. Svene
    Svene is a small village in Flesberg Municipality in Buskerud county, Norway.
  • C. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • D. Alpaida
    Alpaida was a noble Frankish woman of the early 8th century best known as the consort of Pepin of Herstal and the mother of Charles Martel.
  • E. Svane
    Svane is a Danish surname most notably associated with Mikkel Svane, the co-founder and former CEO of the customer service software company Zendesk.
  • 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: Svan
Triple: [Ushguli, language, Svan]
Generated description
Svan is a Kartvelian language spoken by the Svan people in the highland regions of Svaneti in northwestern Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Svan
Target entity description: Svan is a Kartvelian language spoken by the Svan people in the highland regions of Svaneti in northwestern Georgia.
  • A. Svan people
    The Svan people are an indigenous ethnic subgroup of Georgians from the remote, mountainous Svaneti region of northwestern Georgia, known for their distinct culture, traditions, and historical tower villages.
  • B. Svene
    Svene is a small village in Flesberg Municipality in Buskerud county, Norway.
  • C. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • D. Alpaida
    Alpaida was a noble Frankish woman of the early 8th century best known as the consort of Pepin of Herstal and the mother of Charles Martel.
  • E. Svane
    Svane is a Danish surname most notably associated with Mikkel Svane, the co-founder and former CEO of the customer service software company Zendesk.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2261a848190b62a8485009f8f38 completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3e663b081908eeb0905454e72f5 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b48273c88190a95332f1ecce7fb7 completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b5470d408190ae676062f2855508 completed May 12, 2026, 11:18 p.m.
Created at: April 10, 2026, 10:32 a.m.