Triple
T18304207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlagtwedde |
E438439
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Veelerveen
Veelerveen is a small village in the province of Groningen in the northeastern Netherlands.
|
E1326281
|
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: Veelerveen | Statement: [Vlagtwedde, hasSettlement, Veelerveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veelerveen Context triple: [Vlagtwedde, hasSettlement, Veelerveen]
-
A.
Eesveen
Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
-
B.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
-
C.
Kloosterveen
Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
-
D.
Oostzaan
Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
-
E.
Zuiderwoude
Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
- 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: Veelerveen Triple: [Vlagtwedde, hasSettlement, Veelerveen]
Generated description
Veelerveen is a small village in the province of Groningen in the northeastern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veelerveen Target entity description: Veelerveen is a small village in the province of Groningen in the northeastern Netherlands.
-
A.
Eesveen
Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
-
B.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
-
C.
Kloosterveen
Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
-
D.
Oostzaan
Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
-
E.
Zuiderwoude
Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f1441ac8190af8ad50ea50c31ec |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a0440c2b1788190a61117c008e8e2a3 |
completed | May 13, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04412ce3d481909044236be107de8d |
completed | May 13, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:35 a.m.