Triple
T29631771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayo del Rosario National Park |
E755590
|
entity |
| Predicate | isIslandAreaOf |
P28013
|
FINISHED |
| Object | Cayo del Rosario |
—
|
NE NERFINISHED |
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: Cayo del Rosario | Statement: [Cayo del Rosario National Park, isIslandAreaOf, Cayo del Rosario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIslandAreaOf Context triple: [Cayo del Rosario National Park, isIslandAreaOf, Cayo del Rosario]
-
A.
isIslandArea
Indicates that a given geographic area is classified as an island.
-
B.
isPartOfInsularArea
chosen
Indicates that one entity is included within, or belongs to, a defined insular area (such as a non-contiguous territorial region or island jurisdiction).
-
C.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
D.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
E.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66e66da1081909f7f78f94232cbba |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:41 p.m.