Triple
T1381924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Minho |
E29356
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Guimarães |
E172663
|
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: Guimarães | Statement: [University of Minho, city, Guimarães]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guimarães Context triple: [University of Minho, city, Guimarães]
-
A.
Guimarães
chosen
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.
-
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.
Coimbra
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.
-
D.
Porto
Porto is Portugal’s second-largest city, renowned for its historic riverside district, rich maritime heritage, and production of port wine.
-
E.
São Gonçalo do Amarante
São Gonçalo do Amarante is a Brazilian municipality in the state of Rio Grande do Norte, known for hosting the Greater Natal International Airport and forming part of the Natal metropolitan area.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31b176c8190a896183140c5c8be |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3085a058819080508b3466f2a1d5 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 7:59 p.m.