Triple

T15776428
Position Surface form Disambiguated ID Type / Status
Subject Tashkent Region E382503 entity
Predicate capital P234 FINISHED
Object Nurafshon
Nurafshon is a city in eastern Uzbekistan that serves as the administrative center of Tashkent Region.
E1174618 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: Nurafshon | Statement: [Tashkent Region, capital, Nurafshon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nurafshon
Context triple: [Tashkent Region, capital, Nurafshon]
  • A. Zarafshan
    Zarafshan is a city in central Uzbekistan known for its mining industry and location near the Kyzylkum Desert.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Sarafand
    Sarafand is a coastal village in southern Lebanon, traditionally identified as the modern site of the ancient Phoenician city of Zarephath.
  • D. Nowshakh
    Nowshakh is a prominent mountain peak in the Hindu Kush range, located on the border between Afghanistan and Pakistan.
  • E. Azimjan
    Azimjan is the given name of Azimjan Askarov, a Kyrgyz human rights activist and political prisoner known for documenting ethnic violence and police abuses.
  • 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: Nurafshon
Triple: [Tashkent Region, capital, Nurafshon]
Generated description
Nurafshon is a city in eastern Uzbekistan that serves as the administrative center of Tashkent Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nurafshon
Target entity description: Nurafshon is a city in eastern Uzbekistan that serves as the administrative center of Tashkent Region.
  • A. Zarafshan
    Zarafshan is a city in central Uzbekistan known for its mining industry and location near the Kyzylkum Desert.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Sarafand
    Sarafand is a coastal village in southern Lebanon, traditionally identified as the modern site of the ancient Phoenician city of Zarephath.
  • D. Nowshakh
    Nowshakh is a prominent mountain peak in the Hindu Kush range, located on the border between Afghanistan and Pakistan.
  • E. Azimjan
    Azimjan is the given name of Azimjan Askarov, a Kyrgyz human rights activist and political prisoner known for documenting ethnic violence and police abuses.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877f57a88190a8a83eb63544a401 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff87cf316c8190a06ae5f35cbd7d15 completed May 9, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69ff87f40c3c81908b6cb6fe05e231d8 completed May 9, 2026, 7:16 p.m.
Created at: April 10, 2026, 4:47 a.m.