Triple
T19081240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lúcia dos Santos |
E467036
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lúcia |
—
|
NE NERFINISHED |
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: Lúcia | Statement: [Lúcia dos Santos, givenName, Lúcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lúcia Context triple: [Lúcia dos Santos, givenName, Lúcia]
-
A.
Lucia
chosen
Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
-
B.
Lúcia dos Santos
Lúcia dos Santos was one of the three Portuguese shepherd children who reported the Marian apparitions at Fátima in 1917 and later became a Catholic nun and prominent religious figure.
-
C.
Lélia
Lélia is a philosophical and romantic novel by George Sand that explores themes of female desire, existential doubt, and social constraint in 19th-century France.
-
D.
Eugênia
Eugênia is a Portuguese given name, equivalent to Eugenia, commonly used in Brazil and other Lusophone countries.
-
E.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.