Triple
T21304058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coevorden |
E525145
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Schoonebeek
Schoonebeek is a village in the municipality of Coevorden in the province of Drenthe in the northeastern Netherlands, known historically for its oil fields.
|
E1481539
|
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: Schoonebeek | Statement: [Coevorden, hasSettlement, Schoonebeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schoonebeek Context triple: [Coevorden, hasSettlement, Schoonebeek]
-
A.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
B.
Boortmeerbeek
Boortmeerbeek is a municipality in the Flemish Brabant province of Belgium, situated between Leuven and Mechelen.
-
C.
Bierbeek
Bierbeek is a municipality in the Flemish Brabant province of Belgium, located near the city of Leuven.
-
D.
Vlezenbeek
Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
-
E.
Strombeek-Bever
Strombeek-Bever is a suburban village in Flemish Brabant, Belgium, known for its proximity to Brussels and its role as a residential part of the Grimbergen municipality.
- 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: Schoonebeek Triple: [Coevorden, hasSettlement, Schoonebeek]
Generated description
Schoonebeek is a village in the municipality of Coevorden in the province of Drenthe in the northeastern Netherlands, known historically for its oil fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schoonebeek Target entity description: Schoonebeek is a village in the municipality of Coevorden in the province of Drenthe in the northeastern Netherlands, known historically for its oil fields.
-
A.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
B.
Boortmeerbeek
Boortmeerbeek is a municipality in the Flemish Brabant province of Belgium, situated between Leuven and Mechelen.
-
C.
Bierbeek
Bierbeek is a municipality in the Flemish Brabant province of Belgium, located near the city of Leuven.
-
D.
Vlezenbeek
Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
-
E.
Strombeek-Bever
Strombeek-Bever is a suburban village in Flemish Brabant, Belgium, known for its proximity to Brussels and its role as a residential part of the Grimbergen municipality.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa212388190b367290526feb380 |
completed | April 21, 2026, 11:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b4122eb48190bcfccba3e1b2e9c3 |
completed | May 17, 2026, 12:26 p.m. |
| NEDg | Description generation | batch_6a09b4e8562c8190b3f4eff6dc8c09b5 |
completed | May 17, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b79237908190bf90b4316b58c7b1 |
completed | May 17, 2026, 12:41 p.m. |
Created at: April 16, 2026, 4:05 p.m.