Triple
T2042606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syr Darya |
E44777
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object |
Qanlikoʻl
Qanlikoʻl is a settlement located along the Syr Darya River, likely in Central Asia, whose identity is closely tied to this major waterway.
|
E228150
|
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: Qanlikoʻl | Statement: [Syr Darya, flowsThroughCity, Qanlikoʻl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qanlikoʻl Context triple: [Syr Darya, flowsThroughCity, Qanlikoʻl]
-
A.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
-
B.
Fergana
Fergana is a major city in eastern Uzbekistan, known as an administrative, cultural, and industrial center of the fertile Fergana Valley.
-
C.
Karakalpak
Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
-
D.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
E.
Yura
Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
- 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: Qanlikoʻl Triple: [Syr Darya, flowsThroughCity, Qanlikoʻl]
Generated description
Qanlikoʻl is a settlement located along the Syr Darya River, likely in Central Asia, whose identity is closely tied to this major waterway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qanlikoʻl Target entity description: Qanlikoʻl is a settlement located along the Syr Darya River, likely in Central Asia, whose identity is closely tied to this major waterway.
-
A.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
-
B.
Fergana
Fergana is a major city in eastern Uzbekistan, known as an administrative, cultural, and industrial center of the fertile Fergana Valley.
-
C.
Karakalpak
Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
-
D.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
E.
Yura
Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb95587348190bb5719faeaf0aa5d |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ffbbf948190a89932013b463f85 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae20946a288190a3bd2a19e3608e86 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2109d17c819094a298a822064052 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:39 p.m.