Triple
T8337665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattingen |
E195827
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Winz-Baak
Winz-Baak is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
|
E724683
|
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: Winz-Baak | Statement: [Hattingen, hasSubdivision, Winz-Baak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winz-Baak Context triple: [Hattingen, hasSubdivision, Winz-Baak]
-
A.
Boskoop
Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
-
B.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
E.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
- 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: Winz-Baak Triple: [Hattingen, hasSubdivision, Winz-Baak]
Generated description
Winz-Baak is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winz-Baak Target entity description: Winz-Baak is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
-
A.
Boskoop
Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
-
B.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
E.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd5027c81909724f25aa30bbe58 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95e4382081908634f31eb115e557 |
completed | April 1, 2026, 10:02 p.m. |
| NEDg | Description generation | batch_69cda20edc00819084c4ea5c77e1eb4f |
completed | April 1, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cda62491b481908bb37fad80414d4d |
completed | April 1, 2026, 11:11 p.m. |
Created at: March 30, 2026, 5:57 p.m.