Triple
T5777746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natal |
E127485
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Genipabu dunes |
E130818
|
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: Genipabu dunes | Statement: [Natal, hasAttraction, Genipabu dunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genipabu dunes Context triple: [Natal, hasAttraction, Genipabu dunes]
-
A.
Genipabu dunes
chosen
Genipabu dunes are a famous coastal sand dune and lagoon complex near Natal in northeastern Brazil, renowned for its dramatic landscapes, buggy rides, and recreational activities.
-
B.
Parnidis Dune
Parnidis Dune is a towering coastal sand dune on the Curonian Spit in Lithuania, renowned for its sweeping views over the Baltic Sea and the Curonian Lagoon.
-
C.
Hunder sand dunes
Hunder sand dunes are a high-altitude cold desert landscape in Ladakh, India, famous for their stark sand formations and double-humped Bactrian camels.
-
D.
Great Sand Sea
The Great Sand Sea is a vast expanse of towering sand dunes and hyper-arid desert located in the eastern Sahara between Egypt and Libya.
-
E.
Sam Sand Dunes
Sam Sand Dunes is a popular desert tourism spot near Jaisalmer in Rajasthan, India, known for its sweeping sand dunes, camel safaris, and sunset views.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e107348190a03086f1cbfae0d3 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e6fd260819090d5e3c877c8bd31 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.