Triple

T20965741
Position Surface form Disambiguated ID Type / Status
Subject Ituri Rainforest E516360 entity
Predicate homeTo P4624 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: [Ituri Rainforest, homeTo, okapi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: okapi
Context triple: [Ituri Rainforest, homeTo, 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb72ef4c8190bebdd2cef3c2148c completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:32 p.m.