Triple
T13847330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hikkaduwa railway station |
E332840
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hikkaduwa Beach |
E323361
|
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: Hikkaduwa Beach | Statement: [Hikkaduwa railway station, locatedNear, Hikkaduwa Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikkaduwa Beach Context triple: [Hikkaduwa railway station, locatedNear, Hikkaduwa Beach]
-
A.
Bentota Beach
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.
Hikkaduwa
chosen
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
-
C.
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.
-
D.
Weligama
Weligama is a coastal town in southern Sri Lanka known for its scenic bay, surfing spots, and traditional stilt fishing.
-
E.
Rekawa Beach
Rekawa Beach is a tranquil coastal area in southern Sri Lanka renowned for its sea turtle nesting sites and unspoiled natural beauty.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce6a39a481909d96b332e0a90cf4 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:14 p.m.