Triple

T728547
Position Surface form Disambiguated ID Type / Status
Subject Tajikistan E14781 entity
Predicate capital P234 FINISHED
Object Dushanbe
Dushanbe is the largest city and political, economic, and cultural center of Tajikistan.
E98543 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: Dushanbe | Statement: [Tajikistan, capital, Dushanbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dushanbe
Context triple: [Tajikistan, capital, Dushanbe]
  • A. Tashkent
    Tashkent is the capital and largest city of Uzbekistan, a major cultural and economic hub in Central Asia with deep historical ties to the Islamic world.
  • B. Bishkek
    Bishkek is the largest city and political, economic, and cultural center of Kyrgyzstan, located in the north of the country near the Kyrgyz Ala-Too mountain range.
  • C. Ashgabat
    Ashgabat is the largest city and political, economic, and cultural center of Turkmenistan, known for its grand marble architecture and monumental cityscape.
  • D. Bukhara, Uzbekistan
    Bukhara, Uzbekistan is an ancient Silk Road city renowned for its well-preserved Islamic architecture and historic center, a UNESCO World Heritage Site.
  • E. Herat
    Herat is a historic city in western Afghanistan that flourished as a major cultural and political center of the Timurid Empire and a key hub on the Silk Road.
  • 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: Dushanbe
Triple: [Tajikistan, capital, Dushanbe]
Generated description
Dushanbe is the largest city and political, economic, and cultural center of Tajikistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dushanbe
Target entity description: Dushanbe is the largest city and political, economic, and cultural center of Tajikistan.
  • A. Tashkent
    Tashkent is the capital and largest city of Uzbekistan, a major cultural and economic hub in Central Asia with deep historical ties to the Islamic world.
  • B. Bishkek
    Bishkek is the largest city and political, economic, and cultural center of Kyrgyzstan, located in the north of the country near the Kyrgyz Ala-Too mountain range.
  • C. Ashgabat
    Ashgabat is the largest city and political, economic, and cultural center of Turkmenistan, known for its grand marble architecture and monumental cityscape.
  • D. Bukhara, Uzbekistan
    Bukhara, Uzbekistan is an ancient Silk Road city renowned for its well-preserved Islamic architecture and historic center, a UNESCO World Heritage Site.
  • E. Herat
    Herat is a historic city in western Afghanistan that flourished as a major cultural and political center of the Timurid Empire and a key hub on the Silk Road.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c155908190a73a40195f6281b1 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d742ef08190bb9405a1cde84eb1 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78f03a1a081909087f72e8342cba1 completed March 4, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69a78f632cd88190856e24d5f33d914c completed March 4, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:37 p.m.