Triple
T13951911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badulla |
E335546
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Dunhinda Falls |
E475669
|
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: Dunhinda Falls | Statement: [Badulla, nearbyAttraction, Dunhinda Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunhinda Falls Context triple: [Badulla, nearbyAttraction, Dunhinda Falls]
-
A.
Dunhinda Falls
chosen
Dunhinda Falls is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its misty spray and lush surrounding scenery.
-
B.
Furepe Falls
Furepe Falls is a scenic coastal waterfall in Japan’s Shiretoko Peninsula, known for its dramatic drop from seaside cliffs directly into the Sea of Okhotsk and its rich surrounding wildlife.
-
C.
Casaroro Falls
Casaroro Falls is a scenic, secluded waterfall in Valencia, Negros Oriental, known for its tall, narrow cascade surrounded by lush forest and rugged terrain.
-
D.
Tanda Falls
Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
-
E.
Aguinid Falls
Aguinid Falls is a multi-tiered waterfall in Samboan, Cebu, Philippines, known for its limestone cascades, turquoise pools, and canyoneering-friendly climbing routes.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb227b48190bed1d19b8066b283 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 9, 2026, 10:17 p.m.