Triple
T11315581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genk |
E267956
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Wim Dries
Wim Dries is a Belgian politician best known for serving as the long-time mayor of the city of Genk.
|
E917487
|
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: Wim Dries | Statement: [Genk, hasMayor, Wim Dries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wim Dries Context triple: [Genk, hasMayor, Wim Dries]
-
A.
Frans Kellendonk
Frans Kellendonk was a Dutch novelist and essayist known for his intellectually rich, stylistically precise fiction that explored themes of identity, religion, and society.
-
B.
Henk Van Eeghen
Henk Van Eeghen is a film editor known for his work on the movie "Miracle Mile."
-
C.
Dirk Verbeuren
Dirk Verbeuren is a Belgian-born drummer renowned in the metal scene for his technical precision and speed, best known as the longtime drummer of Soilwork before joining Megadeth.
-
D.
Geert Bourgeois
Geert Bourgeois is a Belgian Flemish nationalist politician and former Minister-President of Flanders, known as a founding figure and key leader of the New Flemish Alliance (N-VA).
-
E.
Willy Houben
Willy Houben is a notable individual who shares the surname Houben, recognized enough to be specifically cited as a bearer of the name.
- 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: Wim Dries Triple: [Genk, hasMayor, Wim Dries]
Generated description
Wim Dries is a Belgian politician best known for serving as the long-time mayor of the city of Genk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wim Dries Target entity description: Wim Dries is a Belgian politician best known for serving as the long-time mayor of the city of Genk.
-
A.
Frans Kellendonk
Frans Kellendonk was a Dutch novelist and essayist known for his intellectually rich, stylistically precise fiction that explored themes of identity, religion, and society.
-
B.
Henk Van Eeghen
Henk Van Eeghen is a film editor known for his work on the movie "Miracle Mile."
-
C.
Dirk Verbeuren
Dirk Verbeuren is a Belgian-born drummer renowned in the metal scene for his technical precision and speed, best known as the longtime drummer of Soilwork before joining Megadeth.
-
D.
Geert Bourgeois
Geert Bourgeois is a Belgian Flemish nationalist politician and former Minister-President of Flanders, known as a founding figure and key leader of the New Flemish Alliance (N-VA).
-
E.
Willy Houben
Willy Houben is a notable individual who shares the surname Houben, recognized enough to be specifically cited as a bearer of the name.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a9e66588190b71e0f60133a8995 |
completed | April 19, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69e510fc537c8190bbf11c8fd6e5764b |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516d0910481908fee176db0d9229b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.