Triple
T7025660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flevoland |
E162938
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Zeewolde
Zeewolde is a Dutch municipality and village known for its modern planned layout and location on reclaimed land in the province of Flevoland.
|
E691510
|
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: Zeewolde | Statement: [Flevoland, containsMunicipality, Zeewolde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeewolde Context triple: [Flevoland, containsMunicipality, Zeewolde]
-
A.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
B.
Meerbeke
Meerbeke is a village in East Flanders, Belgium, best known for having long served as the traditional finish town of the Tour of Flanders cycling race.
-
C.
Woubrugge
Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
-
D.
Veurne
Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
-
E.
Zierikzee
Zierikzee is a historic Dutch town on the island of Schouwen-Duiveland in Zeeland, known for its well-preserved medieval center and maritime heritage.
- 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: Zeewolde Triple: [Flevoland, containsMunicipality, Zeewolde]
Generated description
Zeewolde is a Dutch municipality and village known for its modern planned layout and location on reclaimed land in the province of Flevoland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeewolde Target entity description: Zeewolde is a Dutch municipality and village known for its modern planned layout and location on reclaimed land in the province of Flevoland.
-
A.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
B.
Meerbeke
Meerbeke is a village in East Flanders, Belgium, best known for having long served as the traditional finish town of the Tour of Flanders cycling race.
-
C.
Woubrugge
Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
-
D.
Veurne
Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
-
E.
Zierikzee
Zierikzee is a historic Dutch town on the island of Schouwen-Duiveland in Zeeland, known for its well-preserved medieval center and maritime heritage.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98bd7f4dc8190975352b1eb790cae |
completed | March 29, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69c98ca8a528819092e412e75e47f96f |
completed | March 29, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c98cf90278819084fc84e9ca5f990c |
completed | March 29, 2026, 8:35 p.m. |
Created at: March 27, 2026, 2:35 p.m.