Triple
T22522136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maradana Railway Station |
E556806
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Maradana |
—
|
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: Maradana | Statement: [Maradana Railway Station, locatedIn, Maradana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maradana Context triple: [Maradana Railway Station, locatedIn, Maradana]
-
A.
Maradana
chosen
Maradana is a densely populated, centrally located neighborhood in Colombo, Sri Lanka, known as a major transport and educational hub of the city.
-
B.
Dutugemunu
Dutugemunu was a legendary Sinhalese king of ancient Sri Lanka renowned for unifying much of the island and defeating the South Indian Chola ruler Elara.
-
C.
Kaduwela
Kaduwela is a rapidly developing suburban town in Sri Lanka’s Western Province, situated near Colombo and known for its growing residential and commercial significance.
-
D.
Nagamangala
Nagamangala is a town in the Indian state of Karnataka known for its temples and role as a local commercial and administrative center.
-
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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e32b8a88190ac335d4298dd5ee3 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.