Triple
T19839166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | da Costa |
E476676
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Costa |
—
|
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: Costa | Statement: [da Costa, hasVariant, Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Context triple: [da Costa, hasVariant, Costa]
-
A.
Costa
chosen
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Costa
Costa is a Chilean wine-producing subregion within the Cachapoal Valley, known for its coastal influence that shapes the style and character of its wines.
-
C.
Costa
Costa is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
-
D.
Costa
Costa is the low-lying, tropical coastal region of Ecuador known for its beaches, port cities, and agricultural production.
-
E.
Costa Rei
Costa Rei is a popular seaside resort area on the southeastern coast of Sardinia, Italy, known for its long sandy beaches and clear turquoise waters.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:50 p.m.