Triple

T2920859
Position Surface form Disambiguated ID Type / Status
Subject Turkmenistan manat E78718 entity
Predicate ISO4217Code P189 FINISHED
Object TMT
TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
 E309114 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: TMT | Statement: [Turkmenistan manat, ISO4217Code, TMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMT
Context triple: [Turkmenistan manat, ISO4217Code, TMT]
  • A. TMT
    TMT is a planned next-generation ground-based optical and infrared observatory featuring a 30-meter primary mirror for extremely high-resolution astronomical observations.
  • B. TMTA
    TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
  • C. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. Tekno
    Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
  • 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: TMT
Triple: [Turkmenistan manat, ISO4217Code, TMT]
Generated description
TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMT
Target entity description: TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
  • A. TMT
    TMT is a planned next-generation ground-based optical and infrared observatory featuring a 30-meter primary mirror for extremely high-resolution astronomical observations.
  • B. TMTA
    TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
  • C. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. Tekno
    Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a672f88190851e487dac18d43f completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056344ca48190b4d14dd2c1ac643d completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05b30b1dc819085fdf1c7ad14f13e completed March 10, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69b05c43b08481908ae7cbd23f0b8a93 completed March 10, 2026, 6 p.m.
Created at: March 8, 2026, 2:54 p.m.