Triple
T14331854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herne |
E355366
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Wanne
Wanne is a district within the German city of Herne in the Ruhr area of North Rhine-Westphalia.
|
E1093896
|
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: Wanne | Statement: [Herne, hasCityDistrict, Wanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanne Context triple: [Herne, hasCityDistrict, Wanne]
-
A.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
B.
Wane
Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
-
C.
Waner
Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
-
D.
Wail
Wail is an Arabic male given name that can be translated as "one who returns for protection" or "seeker of refuge."
-
E.
Wanze
Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
- 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: Wanne Triple: [Herne, hasCityDistrict, Wanne]
Generated description
Wanne is a district within the German city of Herne in the Ruhr area of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanne Target entity description: Wanne is a district within the German city of Herne in the Ruhr area of North Rhine-Westphalia.
-
A.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
B.
Wane
Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
-
C.
Waner
Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
-
D.
Wail
Wail is an Arabic male given name that can be translated as "one who returns for protection" or "seeker of refuge."
-
E.
Wanze
Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1fb87c81908412c2953243c8e3 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46943dac819092f5935d9d312949 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4811e2808190b559d8348079ae8f |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd48d827488190b4a494d4da64ba51 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 10, 2026, 1:13 a.m.