Triple

T2468116
Position Surface form Disambiguated ID Type / Status
Subject Congo Rainforest E55301 entity
Predicate partOf P40 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: [Congo Rainforest, partOf, Congo Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congo Basin
Context triple: [Congo Rainforest, partOf, 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. Congo
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • D. Africa Rainforest
    Africa Rainforest is an Oregon Zoo exhibit that recreates a lush Central African jungle habitat for species such as primates, birds, and other rainforest wildlife.
  • E. Amazon Basin
    The Amazon Basin is the vast tropical drainage region of the Amazon River in South America, encompassing the world’s largest rainforest and one of the most biodiverse ecosystems on Earth.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd134684c8190bc62c0af22d75538 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b7af0d4819080fda496670bc5d7 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:44 p.m.