Triple
T11421622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfalz |
E270634
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Deidesheim
Deidesheim is a historic wine-growing town in Germany’s Rhineland-Palatinate region, renowned for its vineyards, traditional wine festivals, and picturesque old town.
|
E929580
|
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: Deidesheim | Statement: [Pfalz, containsTown, Deidesheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deidesheim Context triple: [Pfalz, containsTown, Deidesheim]
-
A.
Diedelsheim
Diedelsheim is a district of the town of Bretten in the state of Baden-Württemberg in southwestern Germany.
-
B.
Leutesheim
Leutesheim is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany, near the Rhine River and the French border.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
E.
Vendenheim
Vendenheim is a commune in northeastern France near Strasbourg, known as a regional transport hub and suburban residential area.
- 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: Deidesheim Triple: [Pfalz, containsTown, Deidesheim]
Generated description
Deidesheim is a historic wine-growing town in Germany’s Rhineland-Palatinate region, renowned for its vineyards, traditional wine festivals, and picturesque old town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deidesheim Target entity description: Deidesheim is a historic wine-growing town in Germany’s Rhineland-Palatinate region, renowned for its vineyards, traditional wine festivals, and picturesque old town.
-
A.
Diedelsheim
Diedelsheim is a district of the town of Bretten in the state of Baden-Württemberg in southwestern Germany.
-
B.
Leutesheim
Leutesheim is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany, near the Rhine River and the French border.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
E.
Vendenheim
Vendenheim is a commune in northeastern France near Strasbourg, known as a regional transport hub and suburban residential area.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624600e0081909cc6f53c05a34efb |
completed | April 20, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:34 p.m.