Triple
T7407314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwigshafen am Rhein |
E170906
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Edigheim
Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
|
E662424
|
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: Edigheim | Statement: [Ludwigshafen am Rhein, hasDistrict, Edigheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edigheim Context triple: [Ludwigshafen am Rhein, hasDistrict, Edigheim]
-
A.
Stockheim
Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
B.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
C.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
D.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
E.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
- 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: Edigheim Triple: [Ludwigshafen am Rhein, hasDistrict, Edigheim]
Generated description
Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edigheim Target entity description: Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
A.
Stockheim
Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
B.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
C.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
D.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
E.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
- 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.