Triple
T11087414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karakol |
E262157
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Przhevalsk
Przhevalsk was the former name of the city now known as Karakol in eastern Kyrgyzstan, a regional center near Lake Issyk-Kul.
|
E904064
|
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: Przhevalsk | Statement: [Karakol, originalName, Przhevalsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Przhevalsk Context triple: [Karakol, originalName, Przhevalsk]
-
A.
Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
-
B.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
C.
Yura
Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Chigil
Chigil was a prominent Turkic tribal group that formed one of the key ruling clans of the Kara-Khanid Khanate in Central Asia.
- 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: Przhevalsk Triple: [Karakol, originalName, Przhevalsk]
Generated description
Przhevalsk was the former name of the city now known as Karakol in eastern Kyrgyzstan, a regional center near Lake Issyk-Kul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Przhevalsk Target entity description: Przhevalsk was the former name of the city now known as Karakol in eastern Kyrgyzstan, a regional center near Lake Issyk-Kul.
-
A.
Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
-
B.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
C.
Yura
Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Chigil
Chigil was a prominent Turkic tribal group that formed one of the key ruling clans of the Kara-Khanid Khanate in Central Asia.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c5008081908f59612243fa4f7a |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7b68ca88190a26ee54eb873c9cf |
completed | April 18, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69e3f2cafc008190a3504999297f1e4e |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f488819081908f9a4225279cde6b |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.