Triple
T13697642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentota |
E328428
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Bentota Beach |
E1053338
|
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 Beach | Statement: [Bentota, hasAttraction, Bentota Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentota Beach Context triple: [Bentota, hasAttraction, Bentota Beach]
-
A.
Bentota Beach
chosen
Bentota Beach is a popular coastal tourist destination in Sri Lanka known for its golden sands, water sports, and resort hotels along the Indian Ocean.
-
B.
Matara Beach
Matara Beach is a scenic coastal stretch in southern Sri Lanka known for its golden sands, palm-fringed shoreline, and relaxed seaside atmosphere.
-
C.
Bentota
Bentota is a popular coastal resort town in southwestern Sri Lanka, known for its beaches, river, and water sports tourism.
-
D.
Manora Beach
Manora Beach is a popular seaside destination near Karachi, Pakistan, known for its sandy shoreline, recreational activities, and views of the Arabian Sea.
-
E.
Tangalle Beach
Tangalle Beach is a tranquil, palm-fringed stretch of coastline in southern Sri Lanka known for its golden sands, turquoise waters, and relatively uncrowded, laid-back atmosphere.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79453395481909d651cb3a128f23d |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.