Triple

T4712467
Position Surface form Disambiguated ID Type / Status
Subject Kazbegi Municipality E104546 entity
Predicate hasNotableSettlement P14082 FINISHED
Object Sno
Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
 E463346 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: Sno | Statement: [Kazbegi Municipality, hasNotableSettlement, Sno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sno
Context triple: [Kazbegi Municipality, hasNotableSettlement, Sno]
  • A. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • B. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • C. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • D. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • E. Nog
    Nog is a Ferengi Starfleet officer from Star Trek: Deep Space Nine who becomes the first of his species to join Starfleet and undergoes significant personal growth throughout the series.
  • 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: Sno
Triple: [Kazbegi Municipality, hasNotableSettlement, Sno]
Generated description
Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sno
Target entity description: Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
  • A. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • B. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • C. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • D. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • E. Nog
    Nog is a Ferengi Starfleet officer from Star Trek: Deep Space Nine who becomes the first of his species to join Starfleet and undergoes significant personal growth throughout the series.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64064c548190bcaa975bd81cd0d5 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be107c3ca48190b93d3f66cc15449e completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1196fcb08190a151b31204045fa4 completed March 21, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69be121448ec8190a29f6d78049002df completed March 21, 2026, 3:35 a.m.
Created at: March 20, 2026, 1:18 p.m.