Triple

T4299500
Position Surface form Disambiguated ID Type / Status
Subject Caen E99797 entity
Predicate hasTwinTown P919 FINISHED
Object Thiès E13945 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: Thiès | Statement: [Caen, hasTwinTown, Thiès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thiès
Context triple: [Caen, hasTwinTown, Thiès]
  • A. 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.
  • B. 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.
  • C. Koulikoro
    Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
  • D. Dakar chosen
    Dakar is the capital and largest city of Senegal, located on the Atlantic coast and serving as a major political, economic, and cultural hub of West Africa.
  • E. Sikasso
    Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509e8cb481909ccca7992aac31a3 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c74a1a7c8190a69a82a8a2a38db9 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.