Triple
T26220651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serengeti Park Hodenhagen |
E655754
|
entity |
| Predicate | hasWildlifeFocus |
P161267
|
FINISHED |
| Object | African animals |
—
|
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: African animals | Statement: [Serengeti Park Hodenhagen, hasWildlifeFocus, African animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWildlifeFocus Context triple: [Serengeti Park Hodenhagen, hasWildlifeFocus, African animals]
-
A.
hasWildlifeSite
Indicates that a location or entity possesses, contains, or is designated as a wildlife site.
-
B.
hasWildlifeHabitats
Indicates that an entity contains or supports natural environments where wildlife species live, feed, or reproduce.
-
C.
hasMajorWildlife
Indicates that a location or area supports significant populations or habitats of important wildlife species.
-
D.
hasWildlifeIssue
Indicates that an entity is affected by, involved in, or responsible for a problem or conflict related to wildlife.
-
E.
hasWildlifeUse
Indicates that something is used by or provides a functional role for wildlife, such as habitat, food, shelter, or other ecological benefits.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 26, 2026, 8:56 p.m.