Triple
T7620634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubenshuis |
E172481
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Wapper square
Wapper square is a historic public square in the center of Antwerp, Belgium, known for landmarks such as the Rubenshuis museum.
|
E679557
|
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: Wapper square | Statement: [Rubenshuis, locatedOn, Wapper square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wapper square Context triple: [Rubenshuis, locatedOn, Wapper square]
-
A.
Spui square
Spui square is a central public square in Amsterdam known for its book markets, cultural venues, and proximity to historic sites like the Begijnhof.
-
B.
Vrijthof square
Vrijthof square is the central and most famous square in Maastricht, known for its historic churches, lively cafés, and frequent cultural events and festivals.
-
C.
Vredenburg square
Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
-
D.
Square d’Anvers
Square d’Anvers is a small public garden and square in Paris known for its tree-lined paths and views toward the Basilique du Sacré-Cœur in the 9th arrondissement.
-
E.
Leidseplein
Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
- 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: Wapper square Triple: [Rubenshuis, locatedOn, Wapper square]
Generated description
Wapper square is a historic public square in the center of Antwerp, Belgium, known for landmarks such as the Rubenshuis museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wapper square Target entity description: Wapper square is a historic public square in the center of Antwerp, Belgium, known for landmarks such as the Rubenshuis museum.
-
A.
Spui square
Spui square is a central public square in Amsterdam known for its book markets, cultural venues, and proximity to historic sites like the Begijnhof.
-
B.
Vrijthof square
Vrijthof square is the central and most famous square in Maastricht, known for its historic churches, lively cafés, and frequent cultural events and festivals.
-
C.
Vredenburg square
Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
-
D.
Square d’Anvers
Square d’Anvers is a small public garden and square in Paris known for its tree-lined paths and views toward the Basilique du Sacré-Cœur in the 9th arrondissement.
-
E.
Leidseplein
Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89aa7b264819096ddeda8e4c5ddb4 |
completed | March 29, 2026, 3:21 a.m. |
| NEDg | Description generation | batch_69c89d0b32848190921807e453474ec6 |
completed | March 29, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89d6b75b881908886ea9505c0b582 |
completed | March 29, 2026, 3:32 a.m. |
Created at: March 27, 2026, 3:55 p.m.