Triple
T7063903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veurne |
E164295
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Sint-Walburgapark
Sint-Walburgapark is a public park in the Belgian town of Veurne, known as a local green space for recreation and relaxation.
|
E638498
|
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: Sint-Walburgapark | Statement: [Veurne, hasLandmark, Sint-Walburgapark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sint-Walburgapark Context triple: [Veurne, hasLandmark, Sint-Walburgapark]
-
A.
Willemspark
Willemspark is an affluent, leafy residential neighborhood in Amsterdam known for its elegant townhouses and proximity to Vondelpark.
-
B.
Rensenpark
Rensenpark is a public park and cultural space in Emmen, the Netherlands, located on the former site of the city’s zoo and now used for recreation, art, and events.
-
C.
Oosterpark
Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
-
D.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
-
E.
Rijswijkse Bos
Rijswijkse Bos is a historic woodland and park area in Rijswijk, Netherlands, known for its walking paths, natural scenery, and cultural monuments.
- 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: Sint-Walburgapark Triple: [Veurne, hasLandmark, Sint-Walburgapark]
Generated description
Sint-Walburgapark is a public park in the Belgian town of Veurne, known as a local green space for recreation and relaxation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sint-Walburgapark Target entity description: Sint-Walburgapark is a public park in the Belgian town of Veurne, known as a local green space for recreation and relaxation.
-
A.
Willemspark
Willemspark is an affluent, leafy residential neighborhood in Amsterdam known for its elegant townhouses and proximity to Vondelpark.
-
B.
Rensenpark
Rensenpark is a public park and cultural space in Emmen, the Netherlands, located on the former site of the city’s zoo and now used for recreation, art, and events.
-
C.
Oosterpark
Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
-
D.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
-
E.
Rijswijkse Bos
Rijswijkse Bos is a historic woodland and park area in Rijswijk, Netherlands, known for its walking paths, natural scenery, and cultural monuments.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e45e80e08190bb1a79a6026d2cd5 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788ba7af88190aeaf3205255af8ad |
completed | March 28, 2026, 7:52 a.m. |
| NEDg | Description generation | batch_69c7892a387c8190856eac695fbcfb02 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789bc4fa081908cf40ec8ff189b90 |
completed | March 28, 2026, 7:56 a.m. |
Created at: March 27, 2026, 2:38 p.m.