Triple
T5798362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo District |
E128561
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nugegoda |
E407752
|
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: Nugegoda | Statement: [Colombo District, contains, Nugegoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nugegoda Context triple: [Colombo District, contains, Nugegoda]
-
A.
Nugegoda
chosen
Nugegoda is a busy suburban town and commercial hub in the Colombo District of Sri Lanka, known for its dense population, shopping areas, and proximity to the administrative capital.
-
B.
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.
-
C.
Balangoda
Balangoda is a town in south-central Sri Lanka known for its archaeological significance and as a regional commercial center in the Sabaragamuwa Province.
-
D.
Ambalangoda
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
-
E.
Aluthgama
Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a959b108190a7408560e1b34cd2 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfb0ea6c819095487404545af9ca |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:51 p.m.