Triple

T6104009
Position Surface form Disambiguated ID Type / Status
Subject Ado-Ekiti E136071 entity
Predicate roadConnection P385 FINISHED
Object Akure E131420 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: Akure | Statement: [Ado-Ekiti, roadConnection, Akure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akure
Context triple: [Ado-Ekiti, roadConnection, Akure]
  • A. Akure chosen
    Akure is the capital city of Ondo State in southwestern Nigeria, known as an important administrative and commercial center in the region.
  • B. Aulestad
    Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • C. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • D. Akure South
    Akure South is a local government area in Ondo State, Nigeria, that encompasses much of the urban and administrative core of the city of Akure.
  • E. Hötorgscity
    Hötorgscity is a central commercial and business district in Stockholm, Sweden, known for its modernist architecture, shopping centers, and the iconic Hötorgsskraporna high-rise buildings.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3f8e5481909e85a60aaf319f66 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12553f1d4819096de40514ef4d2cb completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.