Triple
T22475347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okapi Wildlife Reserve |
E555613
|
entity |
| Predicate | primaryConservationTarget |
P14239
|
FINISHED |
| Object | okapi |
—
|
NE NERFINISHED |
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: okapi | Statement: [Okapi Wildlife Reserve, primaryConservationTarget, okapi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: okapi Context triple: [Okapi Wildlife Reserve, primaryConservationTarget, okapi]
-
A.
okapi
chosen
The okapi is a shy, forest-dwelling mammal native to the Congo region, resembling a cross between a giraffe and a zebra with its long neck and striped hindquarters.
-
B.
Okovi
Okovi is a dark, atmospheric 2017 studio album by experimental singer-songwriter Zola Jesus that explores themes of trauma, death, and resilience.
-
C.
OKO
OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
-
D.
Opiki
Opiki is a small rural settlement in New Zealand’s Manawatū region, known for its farming community and proximity to the Manawatū River.
-
E.
Opo
The Opo are a small Nilotic ethnic group living primarily in the borderlands of western Ethiopia and South Sudan, known for their agro-pastoralist lifestyle and distinct language and culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be3930c8190ba967196df7e083f |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.