Triple
T2404228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Hogeland |
E50238
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Eemsmond
Eemsmond was a former municipality in the province of Groningen in the Netherlands, located in the far north along the Wadden Sea coast.
|
E306931
|
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: Eemsmond | Statement: [Het Hogeland, formedByMergerOf, Eemsmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eemsmond Context triple: [Het Hogeland, formedByMergerOf, Eemsmond]
-
A.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
B.
IJsselmonde
IJsselmonde is an island and borough in the Dutch province of South Holland, located near Rotterdam and bordered by several major rivers.
-
C.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
D.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
E.
Ooijpolder
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
- 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: Eemsmond Triple: [Het Hogeland, formedByMergerOf, Eemsmond]
Generated description
Eemsmond was a former municipality in the province of Groningen in the Netherlands, located in the far north along the Wadden Sea coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eemsmond Target entity description: Eemsmond was a former municipality in the province of Groningen in the Netherlands, located in the far north along the Wadden Sea coast.
-
A.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
B.
IJsselmonde
IJsselmonde is an island and borough in the Dutch province of South Holland, located near Rotterdam and bordered by several major rivers.
-
C.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
D.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
E.
Ooijpolder
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fa151081909bc6be528b29b315 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b030fc819c8190a1bd9bba49760fec |
completed | March 10, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b034d9140881909800f0f052fb4f83 |
completed | March 10, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b035b102b081908b0d9f272ab9c1b1 |
completed | March 10, 2026, 3:16 p.m. |
Created at: March 4, 2026, 7:58 p.m.