Triple
T4045452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berg en Dal |
E84054
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Beek-Ubbergen
Beek-Ubbergen is a village in the Dutch province of Gelderland, known for its scenic hilly landscape near Nijmegen and close to the German border.
|
E408450
|
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: Beek-Ubbergen | Statement: [Berg en Dal, contains, Beek-Ubbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beek-Ubbergen Context triple: [Berg en Dal, contains, Beek-Ubbergen]
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Beek en Donk
Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
-
C.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Beemster
Beemster is a historic Dutch polder and UNESCO World Heritage Site in North Holland, renowned for its meticulously planned reclaimed landscape and geometric layout.
- 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: Beek-Ubbergen Triple: [Berg en Dal, contains, Beek-Ubbergen]
Generated description
Beek-Ubbergen is a village in the Dutch province of Gelderland, known for its scenic hilly landscape near Nijmegen and close to the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beek-Ubbergen Target entity description: Beek-Ubbergen is a village in the Dutch province of Gelderland, known for its scenic hilly landscape near Nijmegen and close to the German border.
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Beek en Donk
Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
-
C.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Beemster
Beemster is a historic Dutch polder and UNESCO World Heritage Site in North Holland, renowned for its meticulously planned reclaimed landscape and geometric layout.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556fec4708190b221893ec35f1a38 |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557f73cbc8190b904089ab0fa97d6 |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.