Triple
T16424485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märkischer Kreis |
E398905
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kierspe
Kierspe is a small town in the Märkischer Kreis district of North Rhine-Westphalia, western Germany, known for its rural character and location in the Sauerland region.
|
E1217740
|
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: Kierspe | Statement: [Märkischer Kreis, hasMunicipality, Kierspe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kierspe Context triple: [Märkischer Kreis, hasMunicipality, Kierspe]
-
A.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
B.
Bergeijk
Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
-
C.
Heiligenhaus
Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
-
D.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
E.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
- 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: Kierspe Triple: [Märkischer Kreis, hasMunicipality, Kierspe]
Generated description
Kierspe is a small town in the Märkischer Kreis district of North Rhine-Westphalia, western Germany, known for its rural character and location in the Sauerland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kierspe Target entity description: Kierspe is a small town in the Märkischer Kreis district of North Rhine-Westphalia, western Germany, known for its rural character and location in the Sauerland region.
-
A.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
B.
Bergeijk
Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
-
C.
Heiligenhaus
Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
-
D.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
E.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f9da9081908dadbdac4b2d38ec |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006071a8ac8190b004a2861343960a |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a0060fd5d6c819099d5d1ccaaa907c9 |
completed | May 10, 2026, 10:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061e78b68819095d554b2ff7a329a |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:09 a.m.