Triple

T16606917
Position Surface form Disambiguated ID Type / Status
Subject Senegal Premier League E403467 entity
Predicate includesClubsFrom P1393 FINISHED
Object 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: Thiès | Statement: [Senegal Premier League, includesClubsFrom, Thiès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thiès
Context triple: [Senegal Premier League, includesClubsFrom, Thiès]
  • A. Thiès chosen
    Thiès is a major city in western Senegal that serves as an important transportation and industrial 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. 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.
  • D. Koulikoro
    Koulikoro is a town and region in southwestern Mali, situated along the Niger River and serving as an important administrative and transport hub.
  • E. Kousséri
    Kousséri is a town in northern Cameroon located on the Logone River, serving as a key border crossing and commercial link with N'Djamena, the capital of Chad.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36091de048190b40aa42b1a0681cc completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b278f85081909b3dd5ae5dbc4f8a completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:17 a.m.