Triple
T7001811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Reuss |
E162353
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
|
E658988
|
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: Erstfeld | Statement: [River Reuss, flowsThrough, Erstfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erstfeld Context triple: [River Reuss, flowsThrough, Erstfeld]
-
A.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Raesfeld
Raesfeld is a municipality in western Germany’s North Rhine-Westphalia, known for its historic moated castle and rural surroundings.
-
C.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
D.
Grafenrheinfeld
Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
-
E.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
- 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: Erstfeld Triple: [River Reuss, flowsThrough, Erstfeld]
Generated description
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erstfeld Target entity description: Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
-
A.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Raesfeld
Raesfeld is a municipality in western Germany’s North Rhine-Westphalia, known for its historic moated castle and rural surroundings.
-
C.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
D.
Grafenrheinfeld
Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
-
E.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
- 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_69c7fa5cf190819093f3dc9513361e49 |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fbafa2a08190bcfc407d1a6c0d2b |
completed | March 28, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc14691481909d8d029c5c42cd14 |
completed | March 28, 2026, 4:04 p.m. |
Created at: March 27, 2026, 2:33 p.m.