Triple
T13762168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara Darya |
E330638
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object |
Kara-Suu
Kara-Suu is a town in southern Kyrgyzstan that serves as an important local trade and transport hub near the border with Uzbekistan.
|
E1070085
|
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: Kara-Suu | Statement: [Kara Darya, flowsNear, Kara-Suu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kara-Suu Context triple: [Kara Darya, flowsNear, Kara-Suu]
-
A.
Khatanga
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
-
B.
Saryagash
Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
-
C.
Kyzyl-Suu
Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
-
D.
Obnora River
The Obnora River is a small river in Yaroslavl Oblast, Russia, known for flowing through the historic town of Lyubim and contributing to the region’s rural landscape.
-
E.
Kyzyl-Suu River
The Kyzyl-Suu River is a Central Asian mountain river that serves as one of the principal headwaters of the Vakhsh River.
- 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: Kara-Suu Triple: [Kara Darya, flowsNear, Kara-Suu]
Generated description
Kara-Suu is a town in southern Kyrgyzstan that serves as an important local trade and transport hub near the border with Uzbekistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kara-Suu Target entity description: Kara-Suu is a town in southern Kyrgyzstan that serves as an important local trade and transport hub near the border with Uzbekistan.
-
A.
Khatanga
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
-
B.
Saryagash
Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
-
C.
Kyzyl-Suu
Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
-
D.
Obnora River
The Obnora River is a small river in Yaroslavl Oblast, Russia, known for flowing through the historic town of Lyubim and contributing to the region’s rural landscape.
-
E.
Kyzyl-Suu River
The Kyzyl-Suu River is a Central Asian mountain river that serves as one of the principal headwaters of the Vakhsh River.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02250f4881908d5193b3d5d25844 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce64676c8190921796666ecd3dba |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 9, 2026, 10:10 p.m.