Triple
T1764313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlshorst |
E38726
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Wuhlheide
Wuhlheide is a large forested park and recreational area in Berlin known for its green spaces, outdoor activities, and cultural venues.
|
E199582
|
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: Wuhlheide | Statement: [Karlshorst, locatedNear, Wuhlheide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuhlheide Context triple: [Karlshorst, locatedNear, Wuhlheide]
-
A.
Oberweser
Oberweser is the name given to the upper course of the Weser River in central Germany, encompassing its initial stretch after the confluence of its headstreams.
-
B.
Maienwerder
Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
-
C.
Rügendamm
Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
-
D.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
-
E.
Amt Gerswalde
Amt Gerswalde is an administrative collective municipality in the Uckermark district of Brandenburg, Germany, responsible for local governance of several member villages and towns centered around Gerswalde.
- 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: Wuhlheide Triple: [Karlshorst, locatedNear, Wuhlheide]
Generated description
Wuhlheide is a large forested park and recreational area in Berlin known for its green spaces, outdoor activities, and cultural venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuhlheide Target entity description: Wuhlheide is a large forested park and recreational area in Berlin known for its green spaces, outdoor activities, and cultural venues.
-
A.
Oberweser
Oberweser is the name given to the upper course of the Weser River in central Germany, encompassing its initial stretch after the confluence of its headstreams.
-
B.
Maienwerder
Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
-
C.
Rügendamm
Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
-
D.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
-
E.
Amt Gerswalde
Amt Gerswalde is an administrative collective municipality in the Uckermark district of Brandenburg, Germany, responsible for local governance of several member villages and towns centered around Gerswalde.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646665088190afa31bdf48f14316 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada98eb0348190a44e05393a2c6eff |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adae9845f081908904030f7a10df63 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adafa3494c8190b34a6930cf38ca40 |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 4, 2026, 7:31 p.m.