Triple
T22214992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Sri Lanka |
E549052
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Moratuwa |
—
|
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: Moratuwa | Statement: [Western Sri Lanka, hasMajorCity, Moratuwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moratuwa Context triple: [Western Sri Lanka, hasMajorCity, Moratuwa]
-
A.
Moratuwa
chosen
Moratuwa is a coastal suburb and industrial city in Sri Lanka, located just south of Colombo and known for its furniture industry and technical university.
-
B.
Maradana
Maradana is a densely populated, centrally located neighborhood in Colombo, Sri Lanka, known as a major transport and educational hub of the city.
-
C.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
-
D.
Ruwanwella
Ruwanwella is a small town in Sri Lanka known for its historical fort and scenic surroundings, located within the Sabaragamuwa Province.
-
E.
Yatawatta
Yatawatta is a small town in Sri Lanka’s Central Province, known for its rural setting and agricultural surroundings within the Matale region.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8b13f8819099ed8bebbfea3bc8 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.