Triple
T5186597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grünheide (Mark) |
E117045
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Grünheide
Grünheide is a village in the Brandenburg municipality of Grünheide (Mark) in eastern Germany, known for its forested lakeside setting near Berlin.
|
E501871
|
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: Grünheide | Statement: [Grünheide (Mark), hasSubdivision, Grünheide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grünheide Context triple: [Grünheide (Mark), hasSubdivision, Grünheide]
-
A.
Steigerwald
Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
-
B.
Mistelfeld
Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
-
D.
Riedholz
Riedholz is a small Swiss municipality located in the canton of Solothurn.
-
E.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
- 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: Grünheide Triple: [Grünheide (Mark), hasSubdivision, Grünheide]
Generated description
Grünheide is a village in the Brandenburg municipality of Grünheide (Mark) in eastern Germany, known for its forested lakeside setting near Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grünheide Target entity description: Grünheide is a village in the Brandenburg municipality of Grünheide (Mark) in eastern Germany, known for its forested lakeside setting near Berlin.
-
A.
Steigerwald
Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
-
B.
Mistelfeld
Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
-
D.
Riedholz
Riedholz is a small Swiss municipality located in the canton of Solothurn.
-
E.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08807748190ae8f34a6e8875c15 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee66191dc8190847fe13f2cda0000 |
completed | March 21, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6e8bbcc819094f5f04743eb4013 |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.