Triple

T5856939
Position Surface form Disambiguated ID Type / Status
Subject Tropical rain forest E130177 entity
Predicate exampleRegion P64798 FINISHED
Object Congo Basin E55301 NE 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: Congo Basin | Statement: [Tropical rain forest, exampleRegion, Congo Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congo Basin
Context triple: [Tropical rain forest, exampleRegion, Congo Basin]
  • A. Congo Rainforest chosen
    The Congo Rainforest is the world’s second-largest tropical rainforest, a vast biodiversity hotspot in Central Africa that plays a crucial role in global climate regulation and carbon storage.
  • B. Banda Basin
    The Banda Basin is a deep oceanic basin in eastern Indonesia, known for its complex tectonic setting and very deep waters within the Banda Sea region.
  • C. Kongo Jungle
    Kongo Jungle is a lush, tropical jungle region in the Donkey Kong video game series, often serving as the iconic home and starting area for Donkey Kong and his friends.
  • D. Congo
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • E. Ituri Rainforest
    The Ituri Rainforest is a vast tropical rainforest in northeastern Democratic Republic of the Congo, renowned for its rich biodiversity, dense canopy, and indigenous Mbuti (Pygmy) communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c049fbc57481908299d1955692c76b completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c00a8881908570f7127418e7ff completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:56 p.m.