Triple
T23471770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neckar-Odenwald-Kreis |
E570147
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Billigheim
Billigheim is a small municipality in the Neckar-Odenwald district of Baden-Württemberg in southwestern Germany, known for its rural character and historic village atmosphere.
|
E1589589
|
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: Billigheim | Statement: [Neckar-Odenwald-Kreis, hasMunicipality, Billigheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billigheim Context triple: [Neckar-Odenwald-Kreis, hasMunicipality, Billigheim]
-
A.
Gottenheim
Gottenheim is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
-
B.
Edigheim
Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
C.
Bubsheim
Bubsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
-
D.
Bantzenheim
Bantzenheim is a commune in the Haut-Rhin department in the Grand Est region of northeastern France.
-
E.
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.
- 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: Billigheim Triple: [Neckar-Odenwald-Kreis, hasMunicipality, Billigheim]
Generated description
Billigheim is a small municipality in the Neckar-Odenwald district of Baden-Württemberg in southwestern Germany, known for its rural character and historic village atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Billigheim Target entity description: Billigheim is a small municipality in the Neckar-Odenwald district of Baden-Württemberg in southwestern Germany, known for its rural character and historic village atmosphere.
-
A.
Gottenheim
Gottenheim is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
-
B.
Edigheim
Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
C.
Bubsheim
Bubsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
-
D.
Bantzenheim
Bantzenheim is a commune in the Haut-Rhin department in the Grand Est region of northeastern France.
-
E.
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.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a700bd0481908047aa4678217cbd |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c825dcbdc819090002d36ef823a2f |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca80db6288190ae99313c1f2485db |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:55 p.m.