Triple
T2115763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Domain of Laeken |
E43805
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Laeken |
E144770
|
NE FINISHED |
How this triple was built (2 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: Laeken | Statement: [Royal Domain of Laeken, locatedIn, Laeken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laeken Context triple: [Royal Domain of Laeken, locatedIn, Laeken]
-
A.
Laeken
chosen
Laeken is a residential district in the north of Brussels, Belgium, known for its royal palace, extensive parks, and role as the traditional home of the Belgian monarchy.
-
B.
Ixelles
Ixelles is a vibrant, multicultural municipality of the Brussels-Capital Region in Belgium, known for its Art Nouveau architecture, lively student population, and cultural institutions.
-
C.
Etterbeek
Etterbeek is a municipality in the Brussels-Capital Region of Belgium, known for its European Union institutions, urban character, and proximity to central Brussels.
-
D.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
E.
Knokke-Heist
Knokke-Heist is a Belgian coastal resort town known for its beaches, upscale tourism, and proximity to the Dutch border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0724e08190a0a4210d86261d6d |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc25d9348190a216c53d1c7f8820 |
completed | March 11, 2026, 5:22 a.m. |
Created at: March 4, 2026, 7:43 p.m.