Triple
T3951154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2 coastal highway |
E84867
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Kalutara |
E344716
|
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: Kalutara | Statement: [A2 coastal highway, passesThroughCity, Kalutara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalutara Context triple: [A2 coastal highway, passesThroughCity, Kalutara]
-
A.
Kalutara
chosen
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.
-
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.
Aluthgama
Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
-
D.
Ambalangoda
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
-
E.
Hikkaduwa
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
- 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_69b595f59e908190a45b3b9c767974fb |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:30 p.m.