Triple
T22522129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maradana |
E556806
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Colombo city |
—
|
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: Colombo city | Statement: [Maradana, partOf, Colombo city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colombo city Context triple: [Maradana, partOf, Colombo city]
-
A.
Colombo
chosen
Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
-
B.
Sri Jayawardenepura Kotte
Sri Jayawardenepura Kotte is the administrative capital of Sri Lanka, located near Colombo and serving as the seat of the national legislature.
-
C.
Colombo Metropolitan Region
The Colombo Metropolitan Region is Sri Lanka’s largest urban agglomeration and economic hub, centered on the capital city of Colombo and its surrounding suburbs.
-
D.
City of Negombo
The City of Negombo is a major coastal urban center in western Sri Lanka, known for its fishing industry, sandy beaches, and proximity to the country’s main international airport.
-
E.
Maharagama
Maharagama is a suburban city in the Colombo District of Sri Lanka, known as a densely populated residential and commercial hub within the Colombo metropolitan area.
- 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.