Triple

T1925175
Position Surface form Disambiguated ID Type / Status
Subject Guinea E40812 entity
Predicate hasRegion P285 FINISHED
Object Forest Guinea E95437 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: Forest Guinea | Statement: [Guinea, hasRegion, Forest Guinea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Guinea
Context triple: [Guinea, hasRegion, Forest Guinea]
  • A. Guinean forests of West Africa chosen
    The Guinean forests of West Africa are a biodiversity-rich tropical moist forest ecoregion stretching along the West African coast, renowned for its high levels of endemism and severe habitat loss.
  • B. Congo Rainforest
    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.
  • C. 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.
  • D. Dandaka forest
    Dandaka forest is a vast and perilous wilderness in the Indian epic Ramayana, where Rama, Sita, and Lakshmana spend much of their exile and encounter demons and sages.
  • E. Lower Guinea
    Lower Guinea is a coastal subregion of West Africa characterized by humid tropical forests, significant biodiversity, and important agricultural and port activities.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.