Triple
T22886691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dambadeniya |
E567621
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kurunegala |
—
|
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: Kurunegala | Statement: [Dambadeniya, near, Kurunegala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurunegala Context triple: [Dambadeniya, near, Kurunegala]
-
A.
Kurunegala
chosen
Kurunegala is a major city in Sri Lanka’s North Western Province, serving as an important commercial and transport hub with historical and political significance.
-
B.
Anuradhapura
Anuradhapura is an ancient city in Sri Lanka renowned as a former capital and a major center of early Theravada Buddhism.
-
C.
Kegalle
Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
-
D.
Dambulla
Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
-
E.
Peradeniya
Peradeniya is a town in central Sri Lanka renowned for its historic university and expansive Royal Botanical Gardens.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc1e3408190833a062afbea509d |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.