Triple
T3083001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Manuela, Princess of Portugal |
E64301
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Coimbra |
E12101
|
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: Coimbra | Statement: [Maria Manuela, Princess of Portugal, birthPlace, Coimbra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coimbra Context triple: [Maria Manuela, Princess of Portugal, birthPlace, Coimbra]
-
A.
Coimbra
chosen
Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
-
B.
Braga
Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational center.
-
C.
Évora
Évora is a historic Portuguese city renowned for its well-preserved medieval center, Roman Temple, and status as a UNESCO World Heritage Site.
-
D.
Guimarães
Guimarães is a historic city in northern Portugal often regarded as the birthplace of the Portuguese nation and known for its well-preserved medieval center.
-
E.
Setúbal
Setúbal is a coastal city in southern Portugal known for its fishing industry, nearby Arrábida Natural Park, and views over the Sado Estuary.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e877008190aacbd6f1357bdb9b |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a4da4b48190987aa1c1f5f61fd9 |
completed | March 12, 2026, 7:55 p.m. |
Created at: March 8, 2026, 3:03 p.m.