Triple
T18085207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenwijkerland |
E432815
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Eesveen
Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
|
E1314711
|
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: Eesveen | Statement: [Steenwijkerland, containsSettlement, Eesveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eesveen Context triple: [Steenwijkerland, containsSettlement, Eesveen]
-
A.
Kloosterveen
Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
-
B.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
C.
Lauwersmeer
Lauwersmeer is a lake and national park in the northern Netherlands known for its rich birdlife and protected wetland landscapes.
-
D.
Daarlerveen
Daarlerveen is a small village in the Dutch province of Overijssel, situated within the municipality of Hellendoorn.
-
E.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
- 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: Eesveen Triple: [Steenwijkerland, containsSettlement, Eesveen]
Generated description
Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eesveen Target entity description: Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
-
A.
Kloosterveen
Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
-
B.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
C.
Lauwersmeer
Lauwersmeer is a lake and national park in the northern Netherlands known for its rich birdlife and protected wetland landscapes.
-
D.
Daarlerveen
Daarlerveen is a small village in the Dutch province of Overijssel, situated within the municipality of Hellendoorn.
-
E.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fdb00c8190b4769699e94c8941 |
completed | April 19, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac5724bc8190b9edb164ef49ea5b |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad1e02b48190a23789b2e62d820b |
completed | May 12, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03adef02fc81909d78aaf558c2cab6 |
completed | May 12, 2026, 10:47 p.m. |
Created at: April 10, 2026, 10:27 a.m.