Triple

T19882224
Position Surface form Disambiguated ID Type / Status
Subject Bénoué E477803 entity
Predicate passesNear P416 FINISHED
Object Garoua NE NERFINISHED

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: Garoua | Statement: [Bénoué, passesNear, Garoua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garoua
Context triple: [Bénoué, passesNear, Garoua]
  • A. Garoua chosen
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • B. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • C. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • D. Tafingoult
    Tafingoult is a small town in southwestern Morocco located within the administrative boundaries of Taroudant Province.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658e0ccc88190b6f093035cd6f2a1 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.