Triple
T16219341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sint-Pieters-Leeuw |
E393677
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Vlezenbeek
Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
|
E1220663
|
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: Vlezenbeek | Statement: [Sint-Pieters-Leeuw, hasSubdivision, Vlezenbeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlezenbeek Context triple: [Sint-Pieters-Leeuw, hasSubdivision, Vlezenbeek]
-
A.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
B.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
C.
Boortmeerbeek
Boortmeerbeek is a municipality in the Flemish Brabant province of Belgium, situated between Leuven and Mechelen.
-
D.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
E.
Strombeek-Bever
Strombeek-Bever is a suburban village in Flemish Brabant, Belgium, known for its proximity to Brussels and its role as a residential part of the Grimbergen municipality.
- 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: Vlezenbeek Triple: [Sint-Pieters-Leeuw, hasSubdivision, Vlezenbeek]
Generated description
Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vlezenbeek Target entity description: Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
-
A.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
B.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
C.
Boortmeerbeek
Boortmeerbeek is a municipality in the Flemish Brabant province of Belgium, situated between Leuven and Mechelen.
-
D.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
E.
Strombeek-Bever
Strombeek-Bever is a suburban village in Flemish Brabant, Belgium, known for its proximity to Brussels and its role as a residential part of the Grimbergen municipality.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fabf708190a624c1ed8ce48b0a |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ecc2b4c8190ac9654ac826f198e |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006f9043b8819086143b2ec0cf1657 |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00701fc1848190b3248a70b462eab1 |
completed | May 10, 2026, 11:46 a.m. |
Created at: April 10, 2026, 5:03 a.m.