Triple

T9224516
Position Surface form Disambiguated ID Type / Status
Subject Koulikoro Region E221646 entity
Predicate capital P234 FINISHED
Object Koulikoro E221646 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: Koulikoro | Statement: [Koulikoro Region, capital, Koulikoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koulikoro
Context triple: [Koulikoro Region, capital, Koulikoro]
  • A. Koulikoro chosen
    Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
  • B. 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.
  • C. Koudougou
    Koudougou is a major city in central Burkina Faso known as an important commercial and transportation hub.
  • D. 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.
  • E. 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.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9c71c4819089dcc3689f322529 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1ba860c8190b621b9fe88bc6ba2 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:28 p.m.