Triple
T4045454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berg en Dal |
E84054
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ubbergen
Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
|
E408452
|
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: Ubbergen | Statement: [Berg en Dal, contains, Ubbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubbergen Context triple: [Berg en Dal, contains, Ubbergen]
-
A.
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.
-
B.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
C.
Boxmeer
Boxmeer is a town in the Dutch province of North Brabant, known historically as a former municipality and now part of the Land van Cuijk region.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Wassenaar
Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
- 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: Ubbergen Triple: [Berg en Dal, contains, Ubbergen]
Generated description
Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ubbergen Target entity description: Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
-
A.
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.
-
B.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
C.
Boxmeer
Boxmeer is a town in the Dutch province of North Brabant, known historically as a former municipality and now part of the Land van Cuijk region.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Wassenaar
Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
- 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.