Triple

T22521844
Position Surface form Disambiguated ID Type / Status
Subject Akure North E556799 entity
Predicate borderedBy P224 FINISHED
Object Ifedore NE NERFINISHED

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: Ifedore | Statement: [Akure North, borderedBy, Ifedore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ifedore
Context triple: [Akure North, borderedBy, Ifedore]
  • A. Ifedore chosen
    Ifedore is a local government area in Ondo State, southwestern Nigeria, known for its mix of rural communities and proximity to the state capital, Akure.
  • B. Fyodor
    Fyodor is a masculine given name of Russian origin, most famously borne by the novelist Fyodor Dostoevsky.
  • C. Iosif
    Iosif is the given name of Joseph Stalin, the Soviet leader who ruled the USSR from the mid-1920s until his death in 1953.
  • D. Fyodorov
    Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • E. Nikolai
    Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e32b8a88190ac335d4298dd5ee3 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.