Triple
T4150281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Quarter of Brussels |
E89885
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Koningsplein
Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
|
E417683
|
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: Koningsplein | Statement: [Royal Quarter of Brussels, contains, Koningsplein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koningsplein Context triple: [Royal Quarter of Brussels, contains, Koningsplein]
-
A.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
-
B.
Luxemburgplein
Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
-
C.
Paleizenplein
Paleizenplein is the prominent public square in central Brussels that fronts the Royal Palace and serves as a key ceremonial and urban landmark in the Belgian capital.
-
D.
Natieplein
Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
-
E.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
- 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: Koningsplein Triple: [Royal Quarter of Brussels, contains, Koningsplein]
Generated description
Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koningsplein Target entity description: Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
-
A.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
-
B.
Luxemburgplein
Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
-
C.
Paleizenplein
Paleizenplein is the prominent public square in central Brussels that fronts the Royal Palace and serves as a key ceremonial and urban landmark in the Belgian capital.
-
D.
Natieplein
Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
-
E.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0273a038819087db092da234e767 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f34c748819093d03ccddd3e1f75 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57f9e42c88190b516bf8dca7b2efc |
completed | March 14, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58028e7108190a6c92fc9ea300f9e |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:43 p.m.