Triple
T14732600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iserlohn |
E346114
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Sümmern
Sümmern is a district of the city of Iserlohn in North Rhine-Westphalia, Germany, characterized by its mix of residential areas and surrounding rural landscapes.
|
E1117927
|
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: Sümmern | Statement: [Iserlohn, hasCityDistrict, Sümmern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sümmern Context triple: [Iserlohn, hasCityDistrict, Sümmern]
-
A.
Sümmern
Sümmern is a district of the town of Menden in the Märkischer Kreis region of North Rhine-Westphalia, Germany.
-
B.
Dürrenzimmern
Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
C.
Sulzemoos
Sulzemoos is a small municipality in Bavaria, Germany, located northwest of Munich in the district of Dachau.
-
D.
Frümsen
Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
-
E.
Dagmersellen
Dagmersellen is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and location in the Wigger river valley.
- 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: Sümmern Triple: [Iserlohn, hasCityDistrict, Sümmern]
Generated description
Sümmern is a district of the city of Iserlohn in North Rhine-Westphalia, Germany, characterized by its mix of residential areas and surrounding rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sümmern Target entity description: Sümmern is a district of the city of Iserlohn in North Rhine-Westphalia, Germany, characterized by its mix of residential areas and surrounding rural landscapes.
-
A.
Sümmern
Sümmern is a district of the town of Menden in the Märkischer Kreis region of North Rhine-Westphalia, Germany.
-
B.
Dürrenzimmern
Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
C.
Sulzemoos
Sulzemoos is a small municipality in Bavaria, Germany, located northwest of Munich in the district of Dachau.
-
D.
Frümsen
Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
-
E.
Dagmersellen
Dagmersellen is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and location in the Wigger river valley.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb89ea388190b356df74e36023f7 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfdd73dcc8190bd0340b2f2a2c54a |
completed | May 8, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfe70e03481909eb9a9bf863f826b |
completed | May 8, 2026, 3:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.