Triple
T7063901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veurne |
E164295
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Stadshallen
Stadshallen is a historic town hall and market building that serves as one of the principal architectural landmarks in the Belgian city of Veurne.
|
E638496
|
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: Stadshallen | Statement: [Veurne, hasLandmark, Stadshallen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadshallen Context triple: [Veurne, hasLandmark, Stadshallen]
-
A.
Briskeby Arena
Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
-
B.
Skagerak Arena
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
-
C.
Scandinavium arena
Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
-
D.
Myresjöhus Arena
Myresjöhus Arena is a modern football stadium in Växjö, Sweden, primarily used as the home ground of Östers IF.
-
E.
Ceres Arena
Ceres Arena is a multi-purpose indoor sports and events arena located in Aarhus, Denmark.
- 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: Stadshallen Triple: [Veurne, hasLandmark, Stadshallen]
Generated description
Stadshallen is a historic town hall and market building that serves as one of the principal architectural landmarks in the Belgian city of Veurne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stadshallen Target entity description: Stadshallen is a historic town hall and market building that serves as one of the principal architectural landmarks in the Belgian city of Veurne.
-
A.
Briskeby Arena
Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
-
B.
Skagerak Arena
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
-
C.
Scandinavium arena
Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
-
D.
Myresjöhus Arena
Myresjöhus Arena is a modern football stadium in Växjö, Sweden, primarily used as the home ground of Östers IF.
-
E.
Ceres Arena
Ceres Arena is a multi-purpose indoor sports and events arena located in Aarhus, Denmark.
- 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.