Triple
T14575946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugra River |
E342049
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Угра
Угра — это река в европейской части России, известная как приток Оки и как место ключевых исторических событий, в частности стояния на Угре 1480 года.
|
E1106069
|
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: Угра | Statement: [Ugra River, hasNameInLanguage, Угра]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Угра Context triple: [Ugra River, hasNameInLanguage, Угра]
-
A.
Tartar River
The Tartar River is a significant watercourse in the South Caucasus that flows through parts of Azerbaijan as an important tributary within the Kura–Aras river system.
-
B.
Šyša River
The Šyša River is a small river in western Lithuania that flows into the Curonian Lagoon near the Baltic Sea coast.
-
C.
Tulchin
Tulchin is a historic town in central Ukraine known for its cultural heritage and role in regional political and social movements.
-
D.
Igarka
Igarka is a remote Arctic port town in northern Krasnoyarsk Krai, Russia, known historically for its timber industry and location above the Arctic Circle.
-
E.
Setun River
The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva 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: Угра Triple: [Ugra River, hasNameInLanguage, Угра]
Generated description
Угра — это река в европейской части России, известная как приток Оки и как место ключевых исторических событий, в частности стояния на Угре 1480 года.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Угра Target entity description: Угра — это река в европейской части России, известная как приток Оки и как место ключевых исторических событий, в частности стояния на Угре 1480 года.
-
A.
Tartar River
The Tartar River is a significant watercourse in the South Caucasus that flows through parts of Azerbaijan as an important tributary within the Kura–Aras river system.
-
B.
Šyša River
The Šyša River is a small river in western Lithuania that flows into the Curonian Lagoon near the Baltic Sea coast.
-
C.
Tulchin
Tulchin is a historic town in central Ukraine known for its cultural heritage and role in regional political and social movements.
-
D.
Igarka
Igarka is a remote Arctic port town in northern Krasnoyarsk Krai, Russia, known historically for its timber industry and location above the Arctic Circle.
-
E.
Setun River
The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ace7da48190880a736ead5c4055 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bb3c1188190b158d30e9c962911 |
completed | May 8, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8c6e7d448190835f87e27c998623 |
completed | May 8, 2026, 7:10 a.m. |
Created at: April 10, 2026, 1:24 a.m.