Triple
T3951156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2 coastal highway |
E84867
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Aluthgama |
E346157
|
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: Aluthgama | Statement: [A2 coastal highway, passesThroughCity, Aluthgama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aluthgama Context triple: [A2 coastal highway, passesThroughCity, Aluthgama]
-
A.
Aluthgama
chosen
Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
-
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.
Koggala
Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
-
D.
Nugegoda
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.
-
E.
Ambalangoda
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
- 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_69b5a831b0408190a0862803844d779d |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 9, 2026, 3:30 p.m.