Triple
T19782926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Parks |
E475182
|
entity |
| Predicate | usesManagementModel |
P137310
|
FINISHED |
| Object | long-term co-management agreements |
—
|
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: long-term co-management agreements | Statement: [African Parks, usesManagementModel, long-term co-management agreements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesManagementModel Context triple: [African Parks, usesManagementModel, long-term co-management agreements]
-
A.
usesManagementTool
Indicates that one entity employs or operates a management tool to perform or support its management-related activities.
-
B.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
C.
usesAcquisitionModel
Indicates that one entity employs or applies a particular acquisition model as the method or framework for obtaining something.
-
D.
isManagedThrough
Indicates that one entity is administered, controlled, or operated by means of another entity, typically specifying the mechanism, channel, or system used for its management.
-
E.
isManaged
Indicates that one entity exercises supervisory or administrative control over 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653852e848190b8971981a164e8f9 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.