Triple
T8438446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelican Cays Land and Sea Park |
E199287
|
entity |
| Predicate | terrestrialArea |
P79599
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pelican Cays Land and Sea Park, terrestrialArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terrestrialArea Context triple: [Pelican Cays Land and Sea Park, terrestrialArea, yes]
-
A.
landArea
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
-
B.
areaTotalSquareKilometers
Indicates the total size of something measured in square kilometers.
-
C.
hasTerrestrialArea
chosen
Indicates that an entity possesses a specified extent of land area on the Earth's surface.
-
D.
hasLandAreaRange
Indicates that an entity’s land area falls within a specified minimum-to-maximum range.
-
E.
meanSurfaceArea_km2
Indicates the average surface area of an entity measured in square kilometers.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.