Triple
T3736177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatow |
E79590
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Wilhelmstadt
Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
|
E384930
|
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: Wilhelmstadt | Statement: [Gatow, adjacentTo, Wilhelmstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilhelmstadt Context triple: [Gatow, adjacentTo, Wilhelmstadt]
-
A.
Laboe
Laboe is a seaside town in northern Germany known for its Baltic Sea beaches and the Laboe Naval Memorial overlooking Kiel Bay.
-
B.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
C.
Bremerhaven
Bremerhaven is a major German port city on the North Sea, known for its maritime industry, shipbuilding, and role as a key hub for trade and logistics.
-
D.
Kiel
Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
-
E.
Marburg
Marburg is a historic university town in central Germany known for its well-preserved medieval old town and the Philipps-Universität, one of the oldest Protestant universities in the world.
- 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: Wilhelmstadt Triple: [Gatow, adjacentTo, Wilhelmstadt]
Generated description
Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilhelmstadt Target entity description: Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
-
A.
Laboe
Laboe is a seaside town in northern Germany known for its Baltic Sea beaches and the Laboe Naval Memorial overlooking Kiel Bay.
-
B.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
C.
Bremerhaven
Bremerhaven is a major German port city on the North Sea, known for its maritime industry, shipbuilding, and role as a key hub for trade and logistics.
-
D.
Kiel
Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
-
E.
Marburg
Marburg is a historic university town in central Germany known for its well-preserved medieval old town and the Philipps-Universität, one of the oldest Protestant universities in the world.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3b399c819091b42209925c0d8f |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1e4cc48190bfc1078e9b06d2d9 |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dc41a54c819099081242687e9011 |
completed | March 14, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dcb9235c8190af2b5a5d222e8413 |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:34 p.m.