Triple

T10311074
Position Surface form Disambiguated ID Type / Status
Subject Karakalpakstan E241889 entity
Predicate hasCity P316 FINISHED
Object Kegeyli
Kegeyli is a town in the autonomous Republic of Karakalpakstan in western Uzbekistan, serving as a local administrative and population center.
E855692 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: Kegeyli | Statement: [Karakalpakstan, hasCity, Kegeyli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kegeyli
Context triple: [Karakalpakstan, hasCity, Kegeyli]
  • A. Geyve
    Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
  • B. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • C. Yenikale
    Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
  • D. Geokchay
    Geokchay is a town in present-day Azerbaijan that historically served as an administrative center in the Russian Empire’s Caucasus region.
  • E. Sarikoli
    Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
  • 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: Kegeyli
Triple: [Karakalpakstan, hasCity, Kegeyli]
Generated description
Kegeyli is a town in the autonomous Republic of Karakalpakstan in western Uzbekistan, serving as a local administrative and population center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kegeyli
Target entity description: Kegeyli is a town in the autonomous Republic of Karakalpakstan in western Uzbekistan, serving as a local administrative and population center.
  • A. Geyve
    Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
  • B. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • C. Yenikale
    Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
  • D. Geokchay
    Geokchay is a town in present-day Azerbaijan that historically served as an administrative center in the Russian Empire’s Caucasus region.
  • E. Sarikoli
    Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73186831481909555e2205d8783a7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d732bfc76c819089287477b54a7b77 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:47 a.m.