Triple
T1135041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Brabant |
E23119
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Veghel
Veghel is a town in the southern Netherlands known as an industrial and logistics hub within the province of North Brabant.
|
E177331
|
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: Veghel | Statement: [North Brabant, containsCity, Veghel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veghel Context triple: [North Brabant, containsCity, Veghel]
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
C.
Oudenarde
Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
-
D.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
-
E.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
- 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: Veghel Triple: [North Brabant, containsCity, Veghel]
Generated description
Veghel is a town in the southern Netherlands known as an industrial and logistics hub within the province of North Brabant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veghel Target entity description: Veghel is a town in the southern Netherlands known as an industrial and logistics hub within the province of North Brabant.
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
C.
Oudenarde
Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
-
D.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
-
E.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbfffaa48190b2534ff4da3544ce |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36f2940c81908bea3f0242d2d734 |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad38296b1481909a09e422ef5b7513 |
completed | March 8, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38af38c08190a98462574abe3063 |
completed | March 8, 2026, 8:51 a.m. |
Created at: March 1, 2026, 7:44 p.m.