Triple
T21205516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgsmarienhütte |
E522566
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object |
Weser-Ems
Weser-Ems was a former administrative region in the northwest of the German state of Lower Saxony, encompassing areas around the Weser and Ems rivers.
|
E1481520
|
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: Weser-Ems | Statement: [Georgsmarienhütte, locatedInRegion, Weser-Ems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weser-Ems Context triple: [Georgsmarienhütte, locatedInRegion, Weser-Ems]
-
A.
Weser
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
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.
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.
-
E.
River Wiese
The River Wiese is a river in southwestern Germany and northwestern Switzerland that flows through the Black Forest region before joining the Rhine near Basel.
- 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: Weser-Ems Triple: [Georgsmarienhütte, locatedInRegion, Weser-Ems]
Generated description
Weser-Ems was a former administrative region in the northwest of the German state of Lower Saxony, encompassing areas around the Weser and Ems rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weser-Ems Target entity description: Weser-Ems was a former administrative region in the northwest of the German state of Lower Saxony, encompassing areas around the Weser and Ems rivers.
-
A.
Weser
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
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.
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.
-
E.
River Wiese
The River Wiese is a river in southwestern Germany and northwestern Switzerland that flows through the Black Forest region before joining the Rhine near Basel.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b40e435c8190b8277bbc99c5552b |
completed | May 17, 2026, 12:26 p.m. |
| NEDg | Description generation | batch_6a09b4cc6f8081908b0ad1ce87b47e70 |
completed | May 17, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b79237908190bf90b4316b58c7b1 |
completed | May 17, 2026, 12:41 p.m. |
Created at: April 16, 2026, 3:20 p.m.