Triple
T24015773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasiana Island |
E594668
|
entity |
| Predicate | isPartOfMarineArea |
P20653
|
FINISHED |
| Object | Inside Passage |
—
|
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: Inside Passage | Statement: [Kasiana Island, isPartOfMarineArea, Inside Passage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMarineArea Context triple: [Kasiana Island, isPartOfMarineArea, Inside Passage]
-
A.
includesMarineAreas
Indicates that the referenced spatial or jurisdictional entity encompasses or covers one or more marine or ocean areas within its extent.
-
B.
marineProtectedAreaOf
Indicates that one entity is designated as a marine protected area that encompasses, is associated with, or provides protection for the other entity.
-
C.
hasMarineReserve
Indicates that an entity possesses, includes, or is associated with a designated marine reserve area.
-
D.
marineProtectedArea
Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
-
E.
hasMarineEcoregion
chosen
Indicates that an entity is associated with, or located within, a specific marine ecoregion.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a3f5a08190b7170270c4fcf080 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.