Triple
T4086692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Mergentheim |
E87603
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
|
E421550
|
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: Igersheim | Statement: [Bad Mergentheim, hasNeighbouringMunicipality, Igersheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igersheim Context triple: [Bad Mergentheim, hasNeighbouringMunicipality, Igersheim]
-
A.
Oggersheim
Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
-
B.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
C.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
D.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
E.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
- 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: Igersheim Triple: [Bad Mergentheim, hasNeighbouringMunicipality, Igersheim]
Generated description
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Igersheim Target entity description: Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
A.
Oggersheim
Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
-
B.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
C.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
D.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
E.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7ceeb48190807f0f5078ccfa12 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5960443c48190901c674d2e947cef |
completed | March 14, 2026, 5:08 p.m. |
| NEDg | Description generation | batch_69b59731052881908d9358dc629a4018 |
completed | March 14, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b597c529a08190bbf2af92bfef1aa2 |
completed | March 14, 2026, 5:15 p.m. |
Created at: March 9, 2026, 3:39 p.m.