Triple
T5558586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jardine River National Park |
E145708
|
entity |
| Predicate | hasProtectionPurpose |
P64472
|
FINISHED |
| Object | protection of natural ecosystems |
—
|
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: protection of natural ecosystems | Statement: [Jardine River National Park, hasProtectionPurpose, protection of natural ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectionPurpose Context triple: [Jardine River National Park, hasProtectionPurpose, protection of natural ecosystems]
-
A.
isProtectedFor
Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
-
B.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
C.
protectionType
Indicates the kind or method of protection that is applied to or associated with an entity.
-
D.
isProtectedFrom
Indicates that one entity is safeguarded or shielded against harm, damage, or adverse effects caused by another entity or factor.
-
E.
isProtectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
- F. None of above. chosen
Provenance (4 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:36 p.m.