Triple
T8754684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAZ Group |
E208044
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Ural
Ural is a Russian automotive brand best known for its heavy-duty off-road trucks and military-grade utility vehicles.
|
E756221
|
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: Ural | Statement: [GAZ Group, brand, Ural]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ural Context triple: [GAZ Group, brand, Ural]
-
A.
Ural River
The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
-
B.
Bolshaya Urta River
The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
-
C.
Velikaya River
The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
-
D.
Lena River
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
E.
Ugra River
The Ugra River is a historically significant river in western Russia, known as the site of the 1480 "Great Stand on the Ugra River" that marked the end of Mongol-Tatar dominance over Moscow.
- 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: Ural Triple: [GAZ Group, brand, Ural]
Generated description
Ural is a Russian automotive brand best known for its heavy-duty off-road trucks and military-grade utility vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ural Target entity description: Ural is a Russian automotive brand best known for its heavy-duty off-road trucks and military-grade utility vehicles.
-
A.
Ural River
The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
-
B.
Bolshaya Urta River
The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
-
C.
Velikaya River
The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
-
D.
Lena River
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
E.
Ugra River
The Ugra River is a historically significant river in western Russia, known as the site of the 1480 "Great Stand on the Ugra River" that marked the end of Mongol-Tatar dominance over Moscow.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd83088819082cf54adc0c04243 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519175248190b53c8958cfeeebfa |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf52f0886881909ceb9fbe54f84d11 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf53bc19fc81908f43c3fa29bae021 |
completed | April 3, 2026, 5:44 a.m. |
Created at: March 30, 2026, 6:39 p.m.