Triple
T6089426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnetic Island |
E135723
|
entity |
| Predicate | percentageProtected |
P30455
|
FINISHED |
| Object | over half of the island is national park |
—
|
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: over half of the island is national park | Statement: [Magnetic Island, percentageProtected, over half of the island is national park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageProtected Context triple: [Magnetic Island, percentageProtected, over half of the island is national park]
-
A.
percentageProtectedArea
chosen
Indicates the proportion of a given area that is designated and managed as protected land or water.
-
B.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
isProtectedFor
Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
-
D.
partlyProtectedBy
Indicates that an entity is only partially safeguarded or covered by a specified protective measure, not fully protected.
-
E.
protectedFor
Indicates that something is safeguarded or preserved specifically for the benefit, use, or rights of a particular entity or purpose.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a862c88190912a913973c6b6fc |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.