Triple
T14774037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midden-Groningen |
E347206
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Froombosch
Froombosch is a small village in the Dutch province of Groningen, known for its rural character and location within the municipality of Midden-Groningen.
|
E1125588
|
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: Froombosch | Statement: [Midden-Groningen, hasSettlement, Froombosch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Froombosch Context triple: [Midden-Groningen, hasSettlement, Froombosch]
-
A.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
B.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
C.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
D.
Zurenborg
Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
-
E.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
- 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: Froombosch Triple: [Midden-Groningen, hasSettlement, Froombosch]
Generated description
Froombosch is a small village in the Dutch province of Groningen, known for its rural character and location within the municipality of Midden-Groningen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Froombosch Target entity description: Froombosch is a small village in the Dutch province of Groningen, known for its rural character and location within the municipality of Midden-Groningen.
-
A.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
B.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
C.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
D.
Zurenborg
Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
-
E.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4531fc819084d9ab1c86cb540c |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6c55d6b88190b0f57009be962194 |
completed | May 8, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e56e7e88190b70497e168d707de |
completed | May 8, 2026, 11:14 p.m. |
Created at: April 10, 2026, 1:31 a.m.