Triple
T5749742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antwerp Province |
E126820
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Willebroek
Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
|
E646321
|
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: Willebroek | Statement: [Antwerp Province, hasMunicipality, Willebroek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willebroek Context triple: [Antwerp Province, hasMunicipality, Willebroek]
-
A.
Borgerhout
Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
-
B.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
C.
Diepenbeek
Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
-
D.
Zonhoven
Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
-
E.
Bilzen
Bilzen is a historic city and municipality in the Belgian province of Limburg, known for its medieval heritage and the nearby Alden Biesen Castle.
- 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: Willebroek Triple: [Antwerp Province, hasMunicipality, Willebroek]
Generated description
Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willebroek Target entity description: Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
-
A.
Borgerhout
Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
-
B.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
C.
Diepenbeek
Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
-
D.
Zonhoven
Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
-
E.
Bilzen
Bilzen is a historic city and municipality in the Belgian province of Limburg, known for its medieval heritage and the nearby Alden Biesen Castle.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288870fc819080e883c9d589359b |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b89011a88190b498264ff99e7984 |
completed | March 28, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69c7b97893308190b349afb452d4e154 |
completed | March 28, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7b9f805b88190866170fdd8ce07ff |
completed | March 28, 2026, 11:22 a.m. |
Created at: March 22, 2026, 3:48 p.m.