Triple

T1813170
Position Surface form Disambiguated ID Type / Status
Subject Mali E40373 entity
Predicate containsCity P294 FINISHED
Object Mopti E158899 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 | Statement: [Mali, containsCity, Mopti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mopti
Context triple: [Mali, containsCity, Mopti]
  • A. Mopti chosen
    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. Tadjoura
    Tadjoura is a historic coastal town in Djibouti on the Gulf of Tadjoura, known as one of the country’s oldest settlements and a traditional trading hub.
  • C. Ubari
    Ubari is an oasis town in southwestern Libya’s Fezzan region, known for its nearby sand dunes and picturesque desert lakes.
  • D. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • E. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adead39c208190aa3aaf793c7e3224 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:32 p.m.