Triple
T14644324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malanje Province |
E343805
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Kalandula Falls |
E1123394
|
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: Kalandula Falls | Statement: [Malanje Province, touristAttraction, Kalandula Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalandula Falls Context triple: [Malanje Province, touristAttraction, Kalandula Falls]
-
A.
Kalandula Falls
chosen
Kalandula Falls is one of Africa’s largest and most impressive waterfalls, located on the Lucala River in Angola.
-
B.
Krushuna Falls
Krushuna Falls is a picturesque series of turquoise travertine waterfalls and pools located in northern Bulgaria, renowned for its lush forest setting and scenic hiking paths.
-
C.
Afurdja Waterfall
Afurdja Waterfall is a scenic natural cascade and popular tourist attraction located near the town of Quba in northeastern Azerbaijan.
-
D.
Kakolat Falls
Kakolat Falls is a scenic multi-tiered waterfall and popular tourist spot located near Nawada in the Indian state of Bihar.
-
E.
Toraille Waterfall
Toraille Waterfall is a popular scenic cascade and swimming spot in Saint Lucia, known for its lush rainforest setting and easy accessibility to visitors.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7772508190bee1eb310aa40372 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:26 a.m.