Triple
T17053043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Losser |
E413748
|
entity |
| Predicate | hasHamlet |
P12354
|
FINISHED |
| Object |
Zandbergen
Zandbergen is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
|
E1251075
|
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: Zandbergen | Statement: [Losser, hasHamlet, Zandbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zandbergen Context triple: [Losser, hasHamlet, Zandbergen]
-
A.
Zandbergen
Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
B.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
C.
Destelbergen
Destelbergen is a municipality in the Belgian province of East Flanders, located just east of the city of Ghent.
-
D.
Kortenberg
Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
-
E.
Rotselaar
Rotselaar is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to the city of Leuven.
- 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: Zandbergen Triple: [Losser, hasHamlet, Zandbergen]
Generated description
Zandbergen is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zandbergen Target entity description: Zandbergen is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
-
A.
Zandbergen
Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
B.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
C.
Destelbergen
Destelbergen is a municipality in the Belgian province of East Flanders, located just east of the city of Ghent.
-
D.
Kortenberg
Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
-
E.
Rotselaar
Rotselaar is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to the city of Leuven.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139f346f0819094a430a11e361bac |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013a9e70c8819081b11ad8db246223 |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:34 a.m.