Triple

T17124322
Position Surface form Disambiguated ID Type / Status
Subject Thiès Region E415550 entity
Predicate namedAfter P63 FINISHED
Object city of Thiès E1115489 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: city of Thiès | Statement: [Thiès Region, namedAfter, city of Thiès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Thiès
Context triple: [Thiès Region, namedAfter, city of Thiès]
  • A. Thiès chosen
    Thiès is a major city in western Senegal that serves as an important transportation and industrial hub.
  • 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. Thiès Region
    Thiès Region is an administrative region in western Senegal that serves as a key transportation hub and gateway to the country, hosting major infrastructure such as Blaise Diagne International Airport.
  • D. Ousse
    Ousse is a small river in southwestern France that serves as a tributary within the Gave de Pau river system in the Pyrenees region.
  • E. Bignona
    Bignona is a town in southern Senegal’s Casamance region, known as a local center of trade 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.