Triple
T7407316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwigshafen am Rhein |
E170906
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Pfingstweide
Pfingstweide is a residential district of the German city of Ludwigshafen am Rhein, known for its post-war housing estates and green surroundings.
|
E662426
|
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: Pfingstweide | Statement: [Ludwigshafen am Rhein, hasDistrict, Pfingstweide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfingstweide Context triple: [Ludwigshafen am Rhein, hasDistrict, Pfingstweide]
-
A.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
B.
Little Wiese
Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
-
C.
De Wieden
De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
-
D.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- 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: Pfingstweide Triple: [Ludwigshafen am Rhein, hasDistrict, Pfingstweide]
Generated description
Pfingstweide is a residential district of the German city of Ludwigshafen am Rhein, known for its post-war housing estates and green surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pfingstweide Target entity description: Pfingstweide is a residential district of the German city of Ludwigshafen am Rhein, known for its post-war housing estates and green surroundings.
-
A.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
B.
Little Wiese
Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
-
C.
De Wieden
De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
-
D.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111adbf48190a04df3cec1017b39 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c81455967c81909757f42d976b535c |
completed | March 28, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c814b413a08190b7e5e85d73ddb430 |
completed | March 28, 2026, 5:49 p.m. |
Created at: March 27, 2026, 3:10 p.m.