Triple
T3025949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo–Matara railway line |
E82574
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Galle |
E11721
|
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: Galle | Statement: [Colombo–Matara railway line, passesThrough, Galle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galle Context triple: [Colombo–Matara railway line, passesThrough, Galle]
-
A.
Galle
chosen
Galle is a historic coastal city in southern Sri Lanka renowned for its well-preserved colonial-era fort and long-standing role as a key Indian Ocean trading hub.
-
B.
Kandy
Kandy is a historic city in central Sri Lanka renowned for its cultural heritage, including the Temple of the Tooth and its role as a former royal stronghold.
-
C.
Badulla
Badulla is a major town in Sri Lanka’s central highlands, known as the capital of Uva Province and a regional hub surrounded by tea plantations and scenic mountain landscapes.
-
D.
Colombo
Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading 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_69b3340904b4819097ac23cb2b3fe5d5 |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 8, 2026, 3 p.m.