Triple

T19298924
Position Surface form Disambiguated ID Type / Status
Subject Cyprus dispute E482641 entity
Predicate relatedTo P37 FINISHED
Object TMT
TMT was a Turkish Cypriot paramilitary organization that played a central role in intercommunal violence and political developments during the Cyprus dispute in the mid-20th century.
 E1369209 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: [Cyprus dispute, relatedTo, TMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMT
Context triple: [Cyprus dispute, relatedTo, TMT]
  • A. TMT
    TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
  • B. 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.
  • C. TMTA
    TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
  • D. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • E. TI
    TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
  • 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: [Cyprus dispute, relatedTo, TMT]
Generated description
TMT was a Turkish Cypriot paramilitary organization that played a central role in intercommunal violence and political developments during the Cyprus dispute in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMT
Target entity description: TMT was a Turkish Cypriot paramilitary organization that played a central role in intercommunal violence and political developments during the Cyprus dispute in the mid-20th century.
  • 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. TMT
    TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
  • C. TMTA
    TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
  • D. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • E. TI
    TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8852208190ba0337a9623d9bdf completed April 20, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0714557a208190be1db2689cd5f8ec completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a071586cc548190af378f487e3ddb46 completed May 15, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0716679c448190b1d21306d9601a39 completed May 15, 2026, 12:49 p.m.
Created at: April 10, 2026, 1:31 p.m.