Triple
T20521180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropea |
E503810
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Costa degli Dei |
—
|
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 degli Dei | Statement: [Tropea, partOf, Costa degli Dei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa degli Dei Context triple: [Tropea, partOf, Costa degli Dei]
-
A.
Costa degli Dei
chosen
Costa degli Dei is a renowned stretch of coastline in Calabria, southern Italy, famous for its dramatic cliffs, white sandy beaches, and crystal-clear Tyrrhenian Sea waters.
-
B.
Costa Esmeralda
Costa Esmeralda is a scenic coastal tourist region in eastern Mexico known for its long stretches of sandy beaches, warm Gulf waters, and relaxed resort atmosphere.
-
C.
Costa
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
D.
Costa
Costa is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
-
E.
Costa
Costa is the low-lying, tropical coastal region of Ecuador known for its beaches, port cities, and agricultural production.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.