Triple
T924264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Costa |
E19948
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | António |
E7036
|
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: António | Statement: [António Costa, givenName, António]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: António Context triple: [António Costa, givenName, António]
-
A.
António
chosen
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
-
B.
Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
-
C.
António Gonçalves
António Gonçalves was a Portuguese publisher known for issuing editions of Luís de Camões’ epic poem "Os Lusíadas."
-
D.
Manuel de Arriaga
Manuel de Arriaga was a Portuguese lawyer, politician, and statesman who became the first elected president of the Portuguese First Republic in the early 20th century.
-
E.
Francisco de Arruda
Francisco de Arruda was a Portuguese architect of the early 16th century, best known for his work in the Manueline style, including Lisbon’s iconic Belém Tower.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42851b8881908b2625e3cb34cb6c |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:40 p.m.