Triple
T15056720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Leuven |
E379514
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Boutersem
Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
|
E1134977
|
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: Boutersem | Statement: [Arrondissement of Leuven, containsAdministrativeTerritorialEntity, Boutersem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boutersem Context triple: [Arrondissement of Leuven, containsAdministrativeTerritorialEntity, Boutersem]
-
A.
Marius Weyers
Marius Weyers is a South African actor best known internationally for his role in the film "The Gods Must Be Crazy" and for his extensive work in South African cinema and television.
-
B.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
C.
Weyts
Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
-
D.
Vandevelde
Vandevelde is a surname of Dutch or Flemish origin, commonly found in Belgium and the Netherlands.
-
E.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
- 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: Boutersem Triple: [Arrondissement of Leuven, containsAdministrativeTerritorialEntity, Boutersem]
Generated description
Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boutersem Target entity description: Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
-
A.
Marius Weyers
Marius Weyers is a South African actor best known internationally for his role in the film "The Gods Must Be Crazy" and for his extensive work in South African cinema and television.
-
B.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
C.
Weyts
Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
-
D.
Vandevelde
Vandevelde is a surname of Dutch or Flemish origin, commonly found in Belgium and the Netherlands.
-
E.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c11fb4819086c4b85a8d29ccf7 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea70a10b88190aac09e3b690afa6f |
completed | May 9, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea82a80888190bbb0de39a8959a6e |
completed | May 9, 2026, 3:21 a.m. |
Created at: April 10, 2026, 3:01 a.m.