Triple
T22377104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doria family |
E553178
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Lamba Doria |
—
|
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: Lamba Doria | Statement: [Doria family, notableMember, Lamba Doria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamba Doria Context triple: [Doria family, notableMember, Lamba Doria]
-
A.
Lamba Doria
chosen
Lamba Doria was a prominent 13th-century Genoese admiral renowned for his decisive naval victory over Venice at the Battle of Curzola in 1298.
-
B.
Guaita
Guaita is the oldest and most famous of San Marino’s three mountaintop towers, prominently overlooking the city from Monte Titano.
-
C.
Murça
Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
-
D.
Fontanarrosa
Fontanarrosa is the surname of Roberto Fontanarrosa, a renowned Argentine cartoonist, writer, and humorist.
-
E.
Mariamar
Mariamar is the protagonist of Mia Couto’s novel "Confissão da Leoa," a young woman whose life and voice embody the book’s exploration of gender violence, myth, and social oppression in a Mozambican village.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158292d80819094f474c0e9e14caf |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.