Triple
T13227580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladenburg |
E314920
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Ilvesheim
Ilvesheim is a municipality in the Rhine-Neckar district of Baden-Württemberg, Germany, situated near Mannheim along the Neckar River.
|
E1028044
|
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: Ilvesheim | Statement: [Ladenburg, hasTwinTown, Ilvesheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilvesheim Context triple: [Ladenburg, hasTwinTown, Ilvesheim]
-
A.
Polheim
Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
-
B.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
C.
Harzheim
Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
-
D.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
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.
- 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: Ilvesheim Triple: [Ladenburg, hasTwinTown, Ilvesheim]
Generated description
Ilvesheim is a municipality in the Rhine-Neckar district of Baden-Württemberg, Germany, situated near Mannheim along the Neckar River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilvesheim Target entity description: Ilvesheim is a municipality in the Rhine-Neckar district of Baden-Württemberg, Germany, situated near Mannheim along the Neckar River.
-
A.
Polheim
Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
-
B.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
C.
Harzheim
Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
-
D.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
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.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70099f98081909877392c9ec49766 |
completed | May 3, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f702620bc881909d4348fd2c709232 |
completed | May 3, 2026, 8:08 a.m. |
Created at: April 9, 2026, 9:21 p.m.