Triple
T2404235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Hogeland |
E50238
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Uithuizermeeden
Uithuizermeeden is a village in the Dutch province of Groningen, known for its historic church and rural surroundings.
|
E262910
|
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: Uithuizermeeden | Statement: [Het Hogeland, containsSettlement, Uithuizermeeden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uithuizermeeden Context triple: [Het Hogeland, containsSettlement, Uithuizermeeden]
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
C.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
D.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
E.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
- 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: Uithuizermeeden Triple: [Het Hogeland, containsSettlement, Uithuizermeeden]
Generated description
Uithuizermeeden is a village in the Dutch province of Groningen, known for its historic church and rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uithuizermeeden Target entity description: Uithuizermeeden is a village in the Dutch province of Groningen, known for its historic church and rural surroundings.
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
C.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
D.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
E.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
- 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_69aeb3e740c88190872aa1a7834d73b0 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4b942b08190addc2885fbda0e41 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb557247c8190920ce3a5db388800 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:58 p.m.