Triple
T2192523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldambt |
E49894
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Scheemda
Scheemda is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
|
E248882
|
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: Scheemda | Statement: [Oldambt, hasSettlement, Scheemda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheemda Context triple: [Oldambt, hasSettlement, Scheemda]
-
A.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
B.
Eemshaven
Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
-
C.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
-
D.
Volendam
Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
-
E.
Grevelingen
Grevelingen is a large saltwater lake and former estuary in the southwestern Netherlands, known for its nature reserves, water sports, and role in the Delta Works coastal defense system.
- 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: Scheemda Triple: [Oldambt, hasSettlement, Scheemda]
Generated description
Scheemda is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scheemda Target entity description: Scheemda is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
-
A.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
B.
Eemshaven
Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
-
C.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
-
D.
Volendam
Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
-
E.
Grevelingen
Grevelingen is a large saltwater lake and former estuary in the southwestern Netherlands, known for its nature reserves, water sports, and role in the Delta Works coastal defense system.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf48ceb48190956df39377df0548 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6af40330819094b3b9d74a63b602 |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6c6bfba88190b3f2b8a081f2393e |
completed | March 9, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6cbf1ae88190a35c65605470a01f |
completed | March 9, 2026, 6:46 a.m. |
Created at: March 4, 2026, 7:46 p.m.