Triple

T86812
Position Surface form Disambiguated ID Type / Status
Subject Georgians E1745 entity
Predicate historicalScript P4037 FINISHED
Object Nuskhuri
Nuskhuri is a medieval Georgian script primarily used in religious manuscripts and liturgical texts of the Georgian Orthodox Church.
 E7708 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: Nuskhuri | Statement: [Georgians, historicalScript, Nuskhuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nuskhuri
Context triple: [Georgians, historicalScript, Nuskhuri]
  • A. Aha Makhav
    Aha Makhav is the endonym used by the Mojave people to refer to themselves and their cultural identity.
  • B. Amenia
    Amenia is a small rural town in eastern Dutchess County, New York, known for its scenic Hudson Valley landscapes and historic character.
  • C. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • D. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • E. Kufic script
    Kufic script is the oldest extant form of Arabic calligraphy, characterized by its angular, geometric letterforms and prominent use in early Qur’anic manuscripts and architectural inscriptions.
  • 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: Nuskhuri
Triple: [Georgians, historicalScript, Nuskhuri]
Generated description
Nuskhuri is a medieval Georgian script primarily used in religious manuscripts and liturgical texts of the Georgian Orthodox Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nuskhuri
Target entity description: Nuskhuri is a medieval Georgian script primarily used in religious manuscripts and liturgical texts of the Georgian Orthodox Church.
  • A. Aha Makhav
    Aha Makhav is the endonym used by the Mojave people to refer to themselves and their cultural identity.
  • B. Amenia
    Amenia is a small rural town in eastern Dutchess County, New York, known for its scenic Hudson Valley landscapes and historic character.
  • C. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • D. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • E. Kufic script
    Kufic script is the oldest extant form of Arabic calligraphy, characterized by its angular, geometric letterforms and prominent use in early Qur’anic manuscripts and architectural inscriptions.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2567dd770819088eb77ffc6d2d1cf completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26243abb881908e732c8f885cc694 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a262b397d0819089320c90cc8947c5 completed Feb. 28, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69a263042c988190a7c0c03b2dbd7be1 completed Feb. 28, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.