Triple
T1135021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Brabant |
E23119
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
’s-Hertogenbosch
’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
|
E516901
|
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: ’s-Hertogenbosch | Statement: [North Brabant, capital, ’s-Hertogenbosch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ’s-Hertogenbosch Context triple: [North Brabant, capital, ’s-Hertogenbosch]
-
A.
Nijmegen
Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
-
B.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
C.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
D.
Hilversum
Hilversum is a Dutch city known as the country’s main media and broadcasting center, located in the province of North Holland.
-
E.
Eindhoven
Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
- 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: ’s-Hertogenbosch Triple: [North Brabant, capital, ’s-Hertogenbosch]
Generated description
’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ’s-Hertogenbosch Target entity description: ’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
-
A.
Nijmegen
Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
-
B.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
C.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
D.
Hilversum
Hilversum is a Dutch city known as the country’s main media and broadcasting center, located in the province of North Holland.
-
E.
Eindhoven
Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
- 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_69bf32e44ed88190a7a6d9ea9097d8e6 |
completed | March 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69bf3485cfac81909c4868842fc0949f |
completed | March 22, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34e3161881908dbf77118fda3824 |
completed | March 22, 2026, 12:16 a.m. |
Created at: March 1, 2026, 7:44 p.m.