Triple
T3025954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo–Matara railway line |
E82574
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Hikkaduwa |
E323361
|
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: Hikkaduwa | Statement: [Colombo–Matara railway line, passesThrough, Hikkaduwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikkaduwa Context triple: [Colombo–Matara railway line, passesThrough, Hikkaduwa]
-
A.
Hikkaduwa
chosen
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
-
B.
Koggala
Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
-
C.
Weligama
Weligama is a coastal town in southern Sri Lanka known for its scenic bay, surfing spots, and traditional stilt fishing.
-
D.
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.
-
E.
Hambantota
Hambantota is a coastal city in southern Sri Lanka known for its rapid development, including major infrastructure projects like a deep-sea port and international airport.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abc78b48190a5283e7407a78fe7 |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324da09888190b3ea7763d3a09d5d |
completed | March 12, 2026, 8:40 p.m. |
Created at: March 8, 2026, 3 p.m.