Triple
T5132591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruhr area |
E115735
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Emscher
The Emscher is a river in Germany’s Ruhr industrial region, historically known for its heavy pollution and extensive canalization before major ecological restoration efforts.
|
E524728
|
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: Emscher | Statement: [Ruhr area, hasRiver, Emscher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emscher Context triple: [Ruhr area, hasRiver, Emscher]
-
A.
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
-
B.
Lippe
Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
-
C.
Lippe
The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
-
D.
Rhein II
Rhein II is a large-scale color photograph by German visual artist Andreas Gursky, renowned for its minimalist depiction of the Rhine River and for once being the most expensive photograph ever sold at auction.
-
E.
Rheine
Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
- 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: Emscher Triple: [Ruhr area, hasRiver, Emscher]
Generated description
The Emscher is a river in Germany’s Ruhr industrial region, historically known for its heavy pollution and extensive canalization before major ecological restoration efforts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emscher Target entity description: The Emscher is a river in Germany’s Ruhr industrial region, historically known for its heavy pollution and extensive canalization before major ecological restoration efforts.
-
A.
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
-
B.
Lippe
Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
-
C.
Lippe
The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
-
D.
Rhein II
Rhein II is a large-scale color photograph by German visual artist Andreas Gursky, renowned for its minimalist depiction of the Rhine River and for once being the most expensive photograph ever sold at auction.
-
E.
Rheine
Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784b477c8190926daddb28a255af |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf77a987ec8190bda4df37468d9918 |
completed | March 22, 2026, 5:01 a.m. |
| NEDg | Description generation | batch_69bf7b6b45548190b6766c4625aa8857 |
completed | March 22, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf7bb6925c81908f8dbc7d18031dc0 |
completed | March 22, 2026, 5:18 a.m. |
Created at: March 20, 2026, 1:42 p.m.