Triple

T947782
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Georgia E20451 entity
Predicate currency P245 FINISHED
Object tetri
The tetri is the fractional monetary unit of Georgia, used as a subdivision of the Georgian lari.
 E112393 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: tetri | Statement: [Kingdom of Georgia, currency, tetri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: tetri
Context triple: [Kingdom of Georgia, currency, tetri]
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • C. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. Tiel
    Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
  • 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: tetri
Triple: [Kingdom of Georgia, currency, tetri]
Generated description
The tetri is the fractional monetary unit of Georgia, used as a subdivision of the Georgian lari.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: tetri
Target entity description: The tetri is the fractional monetary unit of Georgia, used as a subdivision of the Georgian lari.
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • C. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. Tiel
    Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3be19448190a8863fce3d152430 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933a8649481909d07eec014c1956c completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69aa48cb9afc8190aed4d64e8c3cce6f completed March 6, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69aa498d1ad88190bf68dcae80744071 completed March 6, 2026, 3:27 a.m.
Created at: March 1, 2026, 7:40 p.m.