Triple
T26946077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla de la Juventud municipality |
E678646
|
entity |
| Predicate | isSecondLargestIslandAreaOf |
P19038
|
FINISHED |
| Object | Cuba |
—
|
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: Cuba | Statement: [Isla de la Juventud municipality, isSecondLargestIslandAreaOf, Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondLargestIslandAreaOf Context triple: [Isla de la Juventud municipality, isSecondLargestIslandAreaOf, Cuba]
-
A.
secondLargestIsland
chosen
Indicates that the subject is the second largest island (by area or size) within a specified group, region, or context.
-
B.
secondLargestIslandAfter
Indicates that one island is the second largest in size immediately following another specified island.
-
C.
isLargestIslandIn
Indicates that one island is the largest (by area) among all islands within a specified geographic or political region.
-
D.
largestIslandOfCountry
Indicates that one entity is the largest island (by area) belonging to or within the territory of the specified country.
-
E.
nearestPopulatedIsland
Indicates that one island is the closest populated island to another specified location or island.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620858a4081909de8afda69398553 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:21 a.m.