Triple
T6489415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuss |
E147996
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
|
E598384
|
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: Neuß | Statement: [Neuss, hasAlternativeName, Neuß]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuß Context triple: [Neuss, hasAlternativeName, Neuß]
-
A.
Eschweiler
Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
-
B.
Wermelskirchen
Wermelskirchen is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Bergisches Land region and its traditional half-timbered architecture.
-
C.
Lahr
Lahr is a town in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River opposite Strasbourg and known for its historic center and proximity to the Black Forest.
-
D.
Forbach
Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
-
E.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
- 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: Neuß Triple: [Neuss, hasAlternativeName, Neuß]
Generated description
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neuß Target entity description: Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
A.
Eschweiler
Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
-
B.
Wermelskirchen
Wermelskirchen is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Bergisches Land region and its traditional half-timbered architecture.
-
C.
Lahr
Lahr is a town in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River opposite Strasbourg and known for its historic center and proximity to the Black Forest.
-
D.
Forbach
Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
-
E.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9926fc81909db0f390e385e97d |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c674074df08190a32f7014b2df0120 |
completed | March 27, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69c6759179a0819083fffa405cad744b |
completed | March 27, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c675f50a288190bdc928a06ea089c0 |
completed | March 27, 2026, 12:20 p.m. |
Created at: March 22, 2026, 4:52 p.m.