Triple
T3951157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2 coastal highway |
E84867
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Bentota |
E328428
|
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: Bentota | Statement: [A2 coastal highway, passesThroughCity, Bentota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentota Context triple: [A2 coastal highway, passesThroughCity, Bentota]
-
A.
Bentota
chosen
Bentota is a popular coastal resort town in southwestern Sri Lanka, known for its beaches, river, and water sports tourism.
-
B.
Hikkaduwa
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
-
C.
Weligama
Weligama is a coastal town in southern Sri Lanka known for its scenic bay, surfing spots, and traditional stilt fishing.
-
D.
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.
-
E.
Koggala
Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9384cdc8190ad89b32dc25ac1d7 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a4d3048190b63ad93a6ec87a48 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:30 p.m.