Triple
T4836498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Ramalho Eanes |
E108071
|
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 Ramalho Eanes, givenName, António]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: António Context triple: [António Ramalho Eanes, 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.
Henrique
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
D.
Pêro da Covilhã
Pêro da Covilhã was a 15th-century Portuguese explorer and diplomat who played a key role in paving the sea route to India through his overland reconnaissance of eastern trade routes.
-
E.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce193488190a618250a5681f3ff |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cbbc8a08190b01e4ca717260a20 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.