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.