Triple

T21644333
Position Surface form Disambiguated ID Type / Status
Subject Djenné E534176 entity
Predicate locatedIn P40 FINISHED
Object Mopti Region E402527 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: Mopti Region | Statement: [Djenné, locatedIn, Mopti Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mopti Region
Context triple: [Djenné, locatedIn, Mopti Region]
  • A. Mopti Region chosen
    Mopti Region is an administrative region in central Mali known for its diverse ethnic communities, riverine landscapes along the Niger and Bani rivers, and the historic city of Mopti.
  • B. Ségou Region
    Ségou Region is an administrative region in central Mali known for its agricultural production, Niger River landscapes, and rich Bambara cultural heritage.
  • C. Guéra Region
    Guéra Region is an administrative region in central Chad known for its diverse ethnic communities, agriculture-based economy, and hilly landscapes including the Guéra Massif.
  • D. Sikasso Region
    Sikasso Region is an administrative region in southern Mali known for its agricultural productivity and major towns such as Sikasso and Koutiala.
  • E. Fatick Region
    Fatick Region is an administrative region of western Senegal known for its coastal wetlands, mangrove ecosystems, and cultural heritage within the historic Saloum area.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5393ed388190a0bc385de2b861bf completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa44ca88190a8a55c1811edc5a1 completed May 17, 2026, 6:57 p.m.
Created at: April 16, 2026, 6:35 p.m.