Triple
T7001816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Reuss |
E162353
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Mellingen
Mellingen is a small Swiss town in the canton of Aargau known for its historic old town and riverside setting along the Reuss.
|
E634676
|
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: Mellingen | Statement: [River Reuss, flowsThrough, Mellingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellingen Context triple: [River Reuss, flowsThrough, Mellingen]
-
A.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
B.
Merklingen
Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
-
C.
Merklingen
Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
E.
Memmingen
Memmingen is a historic town in the Bavarian region of Germany, known for its well-preserved medieval old town and role as a regional 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: Mellingen Triple: [River Reuss, flowsThrough, Mellingen]
Generated description
Mellingen is a small Swiss town in the canton of Aargau known for its historic old town and riverside setting along the Reuss.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mellingen Target entity description: Mellingen is a small Swiss town in the canton of Aargau known for its historic old town and riverside setting along the Reuss.
-
A.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
B.
Merklingen
Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
-
C.
Merklingen
Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
E.
Memmingen
Memmingen is a historic town in the Bavarian region of Germany, known for its well-preserved medieval old town and role as a regional 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b1d881481908ef5a6614246ca1e |
completed | March 28, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76be95ecc8190a57ff197f236d434 |
completed | March 28, 2026, 5:49 a.m. |
Created at: March 27, 2026, 2:33 p.m.