Triple
T7071604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welgevonden Game Reserve |
E164711
|
entity |
| Predicate | malariaStatus |
P74829
|
FINISHED |
| Object | malaria-free |
—
|
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: malaria-free | Statement: [Welgevonden Game Reserve, malariaStatus, malaria-free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: malariaStatus Context triple: [Welgevonden Game Reserve, malariaStatus, malaria-free]
-
A.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
-
B.
mortalStatus
Indicates the state or condition of an entity with respect to being mortal, immortal, or otherwise subject to death.
-
C.
hasMarineStatus
Indicates that an entity possesses a specific classification or condition related to its status in a marine or oceanic context.
-
D.
bloodStatus
Indicates the classification of an entity based on the type or purity of its blood or lineage.
-
E.
isReservoirOf
Indicates that one entity serves as a storage source or container holding a particular substance, resource, or quantity for another entity or purpose.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:39 p.m.