Triple
T12631029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Müritz |
E301640
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | town of Waren (Müritz) |
E457981
|
NE FINISHED |
How this triple was built (2 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: town of Waren (Müritz) | Statement: [Lake Müritz, locatedNear, town of Waren (Müritz)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Waren (Müritz) Context triple: [Lake Müritz, locatedNear, town of Waren (Müritz)]
-
A.
Waren (Müritz)
chosen
Waren (Müritz) is a town in the Mecklenburg Lake District of northeastern Germany, known as a gateway to the Müritz National Park and a popular lakeside tourist destination.
-
B.
town of Tangermünde
The town of Tangermünde is a historic German town on the Elbe River, renowned for its well-preserved medieval architecture and brick Gothic buildings.
-
C.
Reckenwalde
Reckenwalde is the former German name of the village now known as Wojnowo in western Poland’s Lubusz Voivodeship.
-
D.
Heringsdorf
Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
-
E.
Himmerich
Himmerich is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails overlooking the Rhine valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610e4f408190946f37325d69375c |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686f9ba48190bd82b2bb037d7d7a |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:15 p.m.