Triple
T4820201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabaragamuwa Province |
E107692
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Ratnapura |
E337108
|
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: Ratnapura | Statement: [Sabaragamuwa Province, capital, Ratnapura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratnapura Context triple: [Sabaragamuwa Province, capital, Ratnapura]
-
A.
Ratnapura
chosen
Ratnapura is a major city in Sri Lanka renowned as the country’s primary gem-mining and trading center.
-
B.
Gampola
Gampola is a historic town in Sri Lanka known for its former status as a medieval capital and its scenic hill-country setting.
-
C.
Dambulla
Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
-
D.
Kandy
Kandy is a historic city in central Sri Lanka renowned for its cultural heritage, including the Temple of the Tooth and its role as a former royal stronghold.
-
E.
Sabaragamuwa
Sabaragamuwa is a historical region in Sri Lanka known for its rich natural resources, including gem mining and lush rainforests.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c98358081908ed43425af667a98 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9232aa3081908d08c64d71a9e3cf |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:24 p.m.