Triple
T10911376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domingos da Gama |
E257706
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gama |
E49459
|
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: Gama | Statement: [Domingos da Gama, familyName, Gama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gama Context triple: [Domingos da Gama, familyName, Gama]
-
A.
Gama
chosen
Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
-
B.
Gama
Gama is a small rural municipality in the Cundinamarca Department of Colombia, known for its Andean landscapes and agricultural economy.
-
C.
Vidigal
Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
-
D.
Galoa
Galoa is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
-
E.
Apurinã
The Apurinã are an Indigenous people of the Amazon region in Brazil, known for their distinct culture, traditional livelihoods along rivers and forests, and their Arawakan Apurinã language.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77071492c8190bd6f8623a59464c9 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1554fc61c8190a0354e2f24cb62e4 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.