Triple

T23299941
Position Surface form Disambiguated ID Type / Status
Subject Slat E590274 entity
Predicate knownFor P22 FINISHED
Object The Ocean Cleanup 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: The Ocean Cleanup | Statement: [Slat, knownFor, The Ocean Cleanup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ocean Cleanup
Context triple: [Slat, knownFor, The Ocean Cleanup]
  • A. The Ocean Cleanup chosen
    The Ocean Cleanup is a nonprofit environmental organization that develops advanced technologies to remove plastic pollution from the world’s oceans and rivers.
  • B. Revive Our Oceans
    Revive Our Oceans is an Earthshot Prize category focused on restoring and protecting the world’s oceans and marine ecosystems through innovative solutions.
  • C. Sea of Plastic
    The "Sea of Plastic" is a vast expanse of intensive greenhouse agriculture in Almería, Spain, characterized by its nearly continuous white plastic-covered greenhouses visible from space.
  • D. Mission Blue
    Mission Blue is a marine conservation organization led by oceanographer Sylvia Earle that works to protect critical ocean areas known as "Hope Spots" worldwide.
  • E. Ecomare
    Ecomare is a nature museum and seal sanctuary on the Dutch island of Texel that focuses on the Wadden Sea, North Sea, and regional marine wildlife and conservation.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d2b5dc819084b4d0290184de62 completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:04 p.m.