Triple
T14968756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wurm River |
E373260
|
entity |
| Predicate | mouthOf |
P1008
|
FINISHED |
| Object |
Rur
The Rur is a river in western Europe that flows through Belgium, Germany, and the Netherlands before joining the Meuse.
|
E1130121
|
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: Rur | Statement: [Wurm River, mouthOf, Rur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rur Context triple: [Wurm River, mouthOf, Rur]
-
A.
Rugii
The Rugii were an East Germanic tribe known from late antiquity, associated with regions around the Baltic Sea and later parts of Central Europe.
-
B.
Rohuneeme
Rohuneeme is a coastal village in northern Estonia known for its scenic peninsula, beaches, and proximity to the capital city Tallinn.
-
C.
Unrug
Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
-
D.
Rumuokurusi
Rumuokurusi is a prominent urban community in Obio-Akpor, Rivers State, Nigeria, known for its commercial activity and strategic location within the Port Harcourt metropolitan area.
-
E.
Runyenjes
Runyenjes is a town in Embu County, Kenya, situated on the southeastern slopes of Mount Kenya and serving as a commercial and administrative center for the surrounding agricultural 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: Rur Triple: [Wurm River, mouthOf, Rur]
Generated description
The Rur is a river in western Europe that flows through Belgium, Germany, and the Netherlands before joining the Meuse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rur Target entity description: The Rur is a river in western Europe that flows through Belgium, Germany, and the Netherlands before joining the Meuse.
-
A.
Rugii
The Rugii were an East Germanic tribe known from late antiquity, associated with regions around the Baltic Sea and later parts of Central Europe.
-
B.
Rohuneeme
Rohuneeme is a coastal village in northern Estonia known for its scenic peninsula, beaches, and proximity to the capital city Tallinn.
-
C.
Unrug
Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
-
D.
Rumuokurusi
Rumuokurusi is a prominent urban community in Obio-Akpor, Rivers State, Nigeria, known for its commercial activity and strategic location within the Port Harcourt metropolitan area.
-
E.
Runyenjes
Runyenjes is a town in Embu County, Kenya, situated on the southeastern slopes of Mount Kenya and serving as a commercial and administrative center for the surrounding agricultural 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be4b0a88190989022108a58370d |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8f4984088190a986a0c46a3e813e |
completed | May 9, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8fbe0e048190b9ce27737ff7d0c3 |
completed | May 9, 2026, 1:37 a.m. |
Created at: April 10, 2026, 2:48 a.m.