Triple
T3354825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilaveli Beach |
E70579
|
entity |
| Predicate | isPartOfTourismRegion |
P32586
|
FINISHED |
| Object | Trincomalee coastal area |
—
|
LITERAL 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: Trincomalee coastal area | Statement: [Nilaveli Beach, isPartOfTourismRegion, Trincomalee coastal area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTourismRegion Context triple: [Nilaveli Beach, isPartOfTourismRegion, Trincomalee coastal area]
-
A.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
B.
isPartOfTouristArea
chosen
Indicates that one entity is located within or belongs to a designated tourist area or tourist-focused region.
-
C.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
D.
hasTourismRegionBrand
Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
-
E.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
- F. None of above.
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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2419a808190a54fc03eeec6e42d |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.