Triple
T11174675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Schwerin |
E264378
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Ziegelwerder
Ziegelwerder is an island located within Lake Schwerin in northern Germany.
|
E908607
|
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: Ziegelwerder | Statement: [Lake Schwerin, hasIsland, Ziegelwerder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziegelwerder Context triple: [Lake Schwerin, hasIsland, Ziegelwerder]
-
A.
Schierstein
Schierstein is a riverside district of Wiesbaden in the German state of Hesse, known for its harbor and waterfront along the Rhine.
-
B.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Zurenborg
Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
-
D.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
-
E.
Neidenburg
Neidenburg is the former German name for the town of Nidzica in northern Poland, historically part of East Prussia.
- 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: Ziegelwerder Triple: [Lake Schwerin, hasIsland, Ziegelwerder]
Generated description
Ziegelwerder is an island located within Lake Schwerin in northern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ziegelwerder Target entity description: Ziegelwerder is an island located within Lake Schwerin in northern Germany.
-
A.
Schierstein
Schierstein is a riverside district of Wiesbaden in the German state of Hesse, known for its harbor and waterfront along the Rhine.
-
B.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Zurenborg
Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
-
D.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
-
E.
Neidenburg
Neidenburg is the former German name for the town of Nidzica in northern Poland, historically part of East Prussia.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e897774c819088ebc7231cebfba6 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463c03a948190b0f40f657180c9bf |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c38bb4c819086a2aa9d86296419 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e46db75d9c8190a84db52d58b71b96 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:29 p.m.