Triple
T10690192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lichtenfels district |
E251989
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Marktgraitz
Marktgraitz is a small municipality in the Upper Franconia region of Bavaria, Germany.
|
E879248
|
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: Marktgraitz | Statement: [Lichtenfels district, hasMunicipality, Marktgraitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marktgraitz Context triple: [Lichtenfels district, hasMunicipality, Marktgraitz]
-
A.
Marktl
Marktl is a small Bavarian municipality best known as the birthplace of Pope Benedict XVI.
-
B.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
C.
Marktbreit
Marktbreit is a small historic town in Bavaria, Germany, best known as the birthplace of psychiatrist and neuropathologist Alois Alzheimer.
-
D.
Alter Markt
Alter Markt is a historic central market square in Cologne, Germany, known for its medieval origins, traditional houses, and role as a focal point for city life and festivals.
-
E.
Stoppelmarkt
Stoppelmarkt is a historic and one of the largest traditional fairs in northern Germany, held annually near Vechta and known for its rides, beer tents, and lively folk festival atmosphere.
- 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: Marktgraitz Triple: [Lichtenfels district, hasMunicipality, Marktgraitz]
Generated description
Marktgraitz is a small municipality in the Upper Franconia region of Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marktgraitz Target entity description: Marktgraitz is a small municipality in the Upper Franconia region of Bavaria, Germany.
-
A.
Marktl
Marktl is a small Bavarian municipality best known as the birthplace of Pope Benedict XVI.
-
B.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
C.
Marktbreit
Marktbreit is a small historic town in Bavaria, Germany, best known as the birthplace of psychiatrist and neuropathologist Alois Alzheimer.
-
D.
Alter Markt
Alter Markt is a historic central market square in Cologne, Germany, known for its medieval origins, traditional houses, and role as a focal point for city life and festivals.
-
E.
Stoppelmarkt
Stoppelmarkt is a historic and one of the largest traditional fairs in northern Germany, held annually near Vechta and known for its rides, beer tents, and lively folk festival atmosphere.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1c0f0081908a6869ee756ec789 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988a59d6c8190a0e170acfb3af6da |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:11 p.m.