Triple
T20155876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kegalle District |
E491563
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Uthuwankanda |
—
|
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: Uthuwankanda | Statement: [Kegalle District, hasAttraction, Uthuwankanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uthuwankanda Context triple: [Kegalle District, hasAttraction, Uthuwankanda]
-
A.
Uthuwankanda
chosen
Uthuwankanda is a prominent mountain in Sri Lanka famed for its scenic views and its association with the legendary bandit Saradiel.
-
B.
Ukunda
Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
-
C.
Ukuwela
Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
-
D.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
E.
Kadawatha
Kadawatha is a rapidly developing suburban town in Sri Lanka’s Western Province, known as a key transport hub on the outskirts of Colombo.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e0a0488190a25d92aaf300be4a |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.