Triple

T14110352
Position Surface form Disambiguated ID Type / Status
Subject Université Félix Houphouët-Boigny E339618 entity
Predicate locatedIn P40 FINISHED
Object Abidjan E67982 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: Abidjan | Statement: [Université Félix Houphouët-Boigny, locatedIn, Abidjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abidjan
Context triple: [Université Félix Houphouët-Boigny, locatedIn, Abidjan]
  • A. Abidjan chosen
    Abidjan is a major economic and cultural hub on the southern coast of Côte d'Ivoire, known for its bustling port, modern skyline, and status as one of the largest cities in West Africa.
  • B. Abidji
    Abidji is a Kwa language of the Central Tano subgroup spoken by the Abidji people in southern Côte d’Ivoire.
  • C. Cotonou
    Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
  • D. Yamoussoukro
    Yamoussoukro is the political capital of Côte d'Ivoire, known for its grand basilica and role as an administrative center in the French-speaking world.
  • E. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda902c598819083c5373172ed758e completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 10:22 p.m.