Triple
T9139045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlota of Mexico |
E219275
|
entity |
| Predicate | birthPlace |
P1
|
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: [Carlota of Mexico, birthPlace, Laeken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laeken Context triple: [Carlota of Mexico, birthPlace, 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.
Tervuren
Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
-
E.
Bellebeek
Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f129c08190b6f053984cb7363f |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121eb1c9881908aebf9e1dab72457 |
completed | April 4, 2026, 2:36 p.m. |
Created at: March 30, 2026, 7:19 p.m.