Triple
T20046699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groß-Gerau district |
E497576
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nauheim
Nauheim is a municipality in the German state of Hesse, known especially for its location near Frankfurt and its historical association with spa culture and music instrument manufacturing.
|
E1409926
|
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: Nauheim | Statement: [Groß-Gerau district, contains, Nauheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nauheim Context triple: [Groß-Gerau district, contains, Nauheim]
-
A.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
-
B.
Delmenhorst
Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
-
C.
Wallenhorst
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
-
D.
Backworth
Backworth is a village in North Tyneside, England, historically associated with coal mining and now largely residential.
-
E.
Neuheim
Neuheim is a small Swiss municipality in the canton of Zug, known for its rural character and proximity to larger economic centers.
- 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: Nauheim Triple: [Groß-Gerau district, contains, Nauheim]
Generated description
Nauheim is a municipality in the German state of Hesse, known especially for its location near Frankfurt and its historical association with spa culture and music instrument manufacturing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nauheim Target entity description: Nauheim is a municipality in the German state of Hesse, known especially for its location near Frankfurt and its historical association with spa culture and music instrument manufacturing.
-
A.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
-
B.
Delmenhorst
Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
-
C.
Wallenhorst
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
-
D.
Backworth
Backworth is a village in North Tyneside, England, historically associated with coal mining and now largely residential.
-
E.
Neuheim
Neuheim is a small Swiss municipality in the canton of Zug, known for its rural character and proximity to larger economic centers.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632b2de48190abe2b277d89eb695 |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3007688190a6cfe629a5a2dd55 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a0820d8d2c48190b8c75fc59e43462a |
completed | May 16, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08212942e88190a385e094a27b3ede |
completed | May 16, 2026, 7:47 a.m. |
Created at: April 11, 2026, 3:37 p.m.