Triple
T1354596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neman River |
E28957
|
entity |
| Predicate | languageVariantName |
P20733
|
FINISHED |
| Object |
Niemen (Polish)
Niemen is the Polish name for the Neman River, a major waterway in northeastern Europe flowing through Belarus and Lithuania into the Baltic Sea.
|
E157569
|
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: Niemen (Polish) | Statement: [Neman River, languageVariantName, Niemen (Polish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niemen (Polish) Context triple: [Neman River, languageVariantName, Niemen (Polish)]
-
A.
Motława
Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
-
B.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
C.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
-
D.
Lech River
The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
- 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: Niemen (Polish) Triple: [Neman River, languageVariantName, Niemen (Polish)]
Generated description
Niemen is the Polish name for the Neman River, a major waterway in northeastern Europe flowing through Belarus and Lithuania into the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niemen (Polish) Target entity description: Niemen is the Polish name for the Neman River, a major waterway in northeastern Europe flowing through Belarus and Lithuania into the Baltic Sea.
-
A.
Motława
Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
-
B.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
C.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
-
D.
Lech River
The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47b63c081908a859a88ad5564b8 |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd5314ac08190abf0ed287689dc5f |
completed | March 8, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd59842f08190976724ad981de3d8 |
completed | March 8, 2026, 1:49 a.m. |
Created at: March 1, 2026, 7:56 p.m.