Triple
T2886612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenisei River |
E59520
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
|
E306836
|
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: Dudinka | Statement: [Yenisei River, passesThrough, Dudinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dudinka Context triple: [Yenisei River, passesThrough, Dudinka]
-
A.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
B.
Smiljan
Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
-
C.
Crnogorci
Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
-
D.
Jurjev
Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
-
E.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
- 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: Dudinka Triple: [Yenisei River, passesThrough, Dudinka]
Generated description
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dudinka Target entity description: Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
A.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
B.
Smiljan
Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
-
C.
Crnogorci
Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
-
D.
Jurjev
Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
-
E.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0463ccc8190bf08330f40d0cfdc |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031713e14819098db4cfaaea74f73 |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b0332021048190a846847e17ccf6f2 |
completed | March 10, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0340e559081909e06d5383eca3019 |
completed | March 10, 2026, 3:09 p.m. |
Created at: March 6, 2026, 10:03 p.m.