Triple

T9014889
Position Surface form Disambiguated ID Type / Status
Subject French Guinea E215568 entity
Predicate geographicalRegion P3227 FINISHED
Object Upper Guinea E222257 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: Upper Guinea | Statement: [French Guinea, geographicalRegion, Upper Guinea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Guinea
Context triple: [French Guinea, geographicalRegion, Upper Guinea]
  • A. Upper Guinea chosen
    Upper Guinea is a natural and historical region in eastern Guinea characterized by savanna landscapes and significant agricultural and mining activities.
  • B. Lower Guinea
    Lower Guinea is a coastal subregion of West Africa characterized by humid tropical forests, significant biodiversity, and important agricultural and port activities.
  • C. Middle Guinea
    Middle Guinea is a natural and historical region of central Guinea characterized by its Fouta Djallon highlands and predominantly Fulani population.
  • D. Guinea Coast
    The Guinea Coast is a historical region along West Africa’s Atlantic shoreline that was a major hub for European trade, including the transatlantic slave trade, from the early modern period onward.
  • E. southeastern Guinea
    Southeastern Guinea is a region of Guinea characterized by its forested landscapes, rural villages, and proximity to the borders with Liberia and Sierra Leone.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fae0b88190a0aa989bc37ab2c7 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba4bfd481908a5f33d39b8e7dd5 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.