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.