Triple
T20667825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freising district |
E507938
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hohenkammer
Hohenkammer is a small municipality in Upper Bavaria, Germany, known for its rural setting and historic Schloss Hohenkammer estate.
|
E1444671
|
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: Hohenkammer | Statement: [Freising district, contains, Hohenkammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenkammer Context triple: [Freising district, contains, Hohenkammer]
-
A.
Hohenfurch
Hohenfurch is a small Bavarian municipality in southern Germany, known for its rural character and scenic location near the Alps.
-
B.
Hohenwarte
Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
-
C.
Hohenborn
Hohenborn is a small locality that forms part of the town of Zierenberg in the German state of Hesse.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
- 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: Hohenkammer Triple: [Freising district, contains, Hohenkammer]
Generated description
Hohenkammer is a small municipality in Upper Bavaria, Germany, known for its rural setting and historic Schloss Hohenkammer estate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohenkammer Target entity description: Hohenkammer is a small municipality in Upper Bavaria, Germany, known for its rural setting and historic Schloss Hohenkammer estate.
-
A.
Hohenfurch
Hohenfurch is a small Bavarian municipality in southern Germany, known for its rural character and scenic location near the Alps.
-
B.
Hohenwarte
Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
-
C.
Hohenborn
Hohenborn is a small locality that forms part of the town of Zierenberg in the German state of Hesse.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6271e481909e3a6f10ec40ce11 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175eefc8190a5178c0f70f7d79f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d23e8ac48190be1726c8e4913b1a |
completed | May 16, 2026, 8:23 p.m. |
Created at: April 16, 2026, 11:44 a.m.