Triple
T5376869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Mariana of Brazil |
E112981
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Bragança |
E199961
|
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: de Bragança | Statement: [Paula Mariana of Brazil, familyName, de Bragança]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Bragança Context triple: [Paula Mariana of Brazil, familyName, de Bragança]
-
A.
Bragança
chosen
Bragança is a historic city in northeastern Portugal known for its well-preserved medieval castle and role as the former seat of the House of Braganza.
-
B.
Vila Real
Vila Real is a historic city in northern Portugal known for its scenic Douro Valley surroundings and notable Baroque architecture.
-
C.
Alenquer
Alenquer is a historic Portuguese town and municipality in the Lisbon District, known for its wine production and scenic location along the banks of the River Alcabrichel.
-
D.
Gouveia
Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
-
E.
Góis
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86b08bf881909fa2e42c977d807a |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29428cec8190a20bea8fcae59d8f |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:03 p.m.