Triple
T17929023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Othmarschen |
E448277
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Nienstedten
Nienstedten is a leafy, affluent residential quarter in western Hamburg, Germany, known for its Elbe riverside location, historic villas, and green spaces.
|
E1303038
|
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: Nienstedten | Statement: [Othmarschen, adjacentTo, Nienstedten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nienstedten Context triple: [Othmarschen, adjacentTo, Nienstedten]
-
A.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
-
B.
Nettelstädt
Nettelstädt is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
-
C.
Hettstedt
Hettstedt is a small German town in the state of Saxony-Anhalt, historically known for its copper mining and metalworking industry.
-
D.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
E.
Nörtershausen
Nörtershausen is a small municipality in western Germany’s Rhineland-Palatinate region, situated in the Rhine-Mosel area.
- 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: Nienstedten Triple: [Othmarschen, adjacentTo, Nienstedten]
Generated description
Nienstedten is a leafy, affluent residential quarter in western Hamburg, Germany, known for its Elbe riverside location, historic villas, and green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nienstedten Target entity description: Nienstedten is a leafy, affluent residential quarter in western Hamburg, Germany, known for its Elbe riverside location, historic villas, and green spaces.
-
A.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
-
B.
Nettelstädt
Nettelstädt is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
-
C.
Hettstedt
Hettstedt is a small German town in the state of Saxony-Anhalt, historically known for its copper mining and metalworking industry.
-
D.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
E.
Nörtershausen
Nörtershausen is a small municipality in western Germany’s Rhineland-Palatinate region, situated in the Rhine-Mosel area.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5511a408190973cf5fa1f286a26 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03499e22f0819097baee7d9c68b557 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034e9ab3848190889d31243829205c |
completed | May 12, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034ef086c481908784e8091adf2932 |
completed | May 12, 2026, 4:01 p.m. |
Created at: April 10, 2026, 10:20 a.m.