Triple
T8513011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberkassel (Düsseldorf) |
E201502
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Lörick
Lörick is a district of Düsseldorf, Germany, located on the left bank of the Rhine opposite the city center and known as a primarily residential area with riverside amenities.
|
E738658
|
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: Lörick | Statement: [Oberkassel (Düsseldorf), adjacentTo, Lörick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lörick Context triple: [Oberkassel (Düsseldorf), adjacentTo, Lörick]
-
A.
Rigmor
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
-
B.
Loarki
Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
-
C.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
-
D.
Jarl
Jarl is a masculine given name of Scandinavian origin, historically associated with nobility and leadership.
-
E.
Burkardroth
Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
- 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: Lörick Triple: [Oberkassel (Düsseldorf), adjacentTo, Lörick]
Generated description
Lörick is a district of Düsseldorf, Germany, located on the left bank of the Rhine opposite the city center and known as a primarily residential area with riverside amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lörick Target entity description: Lörick is a district of Düsseldorf, Germany, located on the left bank of the Rhine opposite the city center and known as a primarily residential area with riverside amenities.
-
A.
Rigmor
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
-
B.
Loarki
Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
-
C.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
-
D.
Jarl
Jarl is a masculine given name of Scandinavian origin, historically associated with nobility and leadership.
-
E.
Burkardroth
Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60cdfcc819081a9be1229378ba0 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e4e64f481908ddf99570fe59332 |
completed | April 2, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ce4ff9792c81908d76141904a170bc |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce50acae5881908f1d2c0e21dd7f1d |
completed | April 2, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:15 p.m.