Triple
T22801600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raalte |
E564407
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Martijn Dadema
Martijn Dadema is a Dutch politician who serves as the mayor of the municipality of Raalte in the Netherlands.
|
E1557173
|
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: Martijn Dadema | Statement: [Raalte, mayor, Martijn Dadema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martijn Dadema Context triple: [Raalte, mayor, Martijn Dadema]
-
A.
Martijn van Broekhuizen
Martijn van Broekhuizen is a cinematographer known for his work on the thriller film "Calibre."
-
B.
Michiel Riedijk
Michiel Riedijk is a Dutch architect, co-founder of the Rotterdam-based firm Neutelings Riedijk Architects, known for his expressive public and cultural buildings.
-
C.
Martijn van Vliet
Martijn van Vliet is a person notable enough to be recognized as a namesake of the surname van Vliet.
-
D.
Wouter Barendrecht
Wouter Barendrecht was a Dutch film producer and co-founder of Fortissimo Films, known for championing independent and international cinema.
-
E.
Martijn Krabbé
Martijn Krabbé is a Dutch television presenter best known for hosting popular talent and reality shows in the Netherlands.
- 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: Martijn Dadema Triple: [Raalte, mayor, Martijn Dadema]
Generated description
Martijn Dadema is a Dutch politician who serves as the mayor of the municipality of Raalte in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martijn Dadema Target entity description: Martijn Dadema is a Dutch politician who serves as the mayor of the municipality of Raalte in the Netherlands.
-
A.
Martijn van Broekhuizen
Martijn van Broekhuizen is a cinematographer known for his work on the thriller film "Calibre."
-
B.
Michiel Riedijk
Michiel Riedijk is a Dutch architect, co-founder of the Rotterdam-based firm Neutelings Riedijk Architects, known for his expressive public and cultural buildings.
-
C.
Martijn van Vliet
Martijn van Vliet is a person notable enough to be recognized as a namesake of the surname van Vliet.
-
D.
Wouter Barendrecht
Wouter Barendrecht was a Dutch film producer and co-founder of Fortissimo Films, known for championing independent and international cinema.
-
E.
Martijn Krabbé
Martijn Krabbé is a Dutch television presenter best known for hosting popular talent and reality shows in the Netherlands.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdd87648190ba30f0b8f3ef7346 |
completed | April 29, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7a2394481909a7829a69df92863 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8560e8c819098ffd01e1834a137 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba9c4bf048190abd9887498fa3621 |
completed | May 19, 2026, 12:07 a.m. |
Created at: April 17, 2026, 3:31 p.m.