Triple

T9248499
Position Surface form Disambiguated ID Type / Status
Subject Upper Guinea E222257 entity
Predicate bordersRegion P224 FINISHED
Object Guinea Forestière E784222 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: Guinea Forestière | Statement: [Upper Guinea, bordersRegion, Guinea Forestière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guinea Forestière
Context triple: [Upper Guinea, bordersRegion, Guinea Forestière]
  • A. Guinea Forestière chosen
    Guinea Forestière is a heavily forested, resource-rich region in southeastern Guinea known for its biodiversity and ethnolinguistic diversity.
  • B. Forêt d'Eawy
    Forêt d'Eawy is a large beech-dominated forest in Normandy, northern France, known for its extensive woodland, biodiversity, and scenic walking and cycling routes.
  • C. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • 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. Fouta Djallon
    Fouta Djallon is a mountainous region in central Guinea known as a major watershed of West Africa and the source of several important rivers, including the Niger and Senegal.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.