Triple

T14399976
Position Surface form Disambiguated ID Type / Status
Subject Niger national road network E357043 entity
Predicate hasNode P114090 FINISHED
Object Maradi E762039 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: Maradi | Statement: [Niger national road network, hasNode, Maradi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maradi
Context triple: [Niger national road network, hasNode, Maradi]
  • A. Mopti
    Mopti is a major city in central Mali known as a bustling river port and commercial hub situated at the confluence of the Niger and Bani rivers.
  • B. Zinder chosen
    Zinder is a major city in southern Niger known as an important historical and commercial center in the Sahel region.
  • C. Ségou
    Ségou is a historic city in central Mali known for its role as a former Bambara kingdom capital, its Niger River location, and its rich cultural and artistic heritage.
  • D. Niamey Zarma
    Niamey Zarma is the principal urban dialect of the Zarma language, predominantly spoken in and around Niger’s capital city, Niamey.
  • E. Bafoussam
    Bafoussam is a major city in western Cameroon known as an important economic and cultural center of the Bamileke people.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.