Triple
T22930124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bambalapitiya |
E569411
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Kollupitiya |
—
|
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: Kollupitiya | Statement: [Bambalapitiya, hasNeighbour, Kollupitiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kollupitiya Context triple: [Bambalapitiya, hasNeighbour, Kollupitiya]
-
A.
Kollupitiya
chosen
Kollupitiya is a prominent commercial and residential neighborhood in central Colombo, Sri Lanka, known for its shopping centers, offices, hotels, and coastal location.
-
B.
Kuliyapitiya
Kuliyapitiya is a prominent town in Sri Lanka known as a commercial and educational hub within the Kurunegala District.
-
C.
Kolonnawa
Kolonnawa is a suburb and urban area in Sri Lanka located within the Colombo metropolitan region.
-
D.
Moratuwa
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.
-
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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180dc33e8819099e5ad87207de57f |
completed | April 29, 2026, 3:54 a.m. |
Created at: April 17, 2026, 3:44 p.m.