Triple
T13957091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salonga River |
E335691
|
entity |
| Predicate | hasProtectedStatusContext |
P3029
|
FINISHED |
| Object | flows largely inside a 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: flows largely inside a national park | Statement: [Salonga River, hasProtectedStatusContext, flows largely inside a national park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectedStatusContext Context triple: [Salonga River, hasProtectedStatusContext, flows largely inside a national park]
-
A.
isProtectedFor
Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
-
B.
isProtectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
hasProtectedAreaStatus
chosen
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
-
D.
isProtectedAreaStatus
Indicates that an entity has a designated protection status, typically signifying legal or formal recognition as a protected area.
-
E.
isProtectedFrom
Indicates that one entity is safeguarded or shielded against harm, damage, or adverse effects caused by another entity or factor.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.