Triple
T4629576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terek River |
E101178
|
entity |
| Predicate | nameInRussian |
P20560
|
FINISHED |
| Object |
Терек
Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
|
E457597
|
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: Терек | Statement: [Terek River, nameInRussian, Терек]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Терек Context triple: [Terek River, nameInRussian, Терек]
-
A.
Kyzyl-Suu
Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
-
B.
Saryk
The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
-
C.
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.
-
D.
Büyük Altay
Büyük Altay is the popular nickname of Altay S.K., a historic Turkish football club based in İzmir.
-
E.
Tsova-Tush
The Tsova-Tush, also known as the Bats people, are a small Nakh-speaking ethnic group traditionally inhabiting the mountainous Batsara (Tsova) region of northeastern Georgia.
- 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: Терек Triple: [Terek River, nameInRussian, Терек]
Generated description
Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Терек Target entity description: Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
-
A.
Kyzyl-Suu
Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
-
B.
Saryk
The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
-
C.
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.
-
D.
Büyük Altay
Büyük Altay is the popular nickname of Altay S.K., a historic Turkish football club based in İzmir.
-
E.
Tsova-Tush
The Tsova-Tush, also known as the Bats people, are a small Nakh-speaking ethnic group traditionally inhabiting the mountainous Batsara (Tsova) region of northeastern Georgia.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a316ef48190831970ec914cf5a2 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfab992148190a1b1dfa33b971d11 |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbf15f1481908b76bcdd37ebd4ce |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.