Triple

T23252053
Position Surface form Disambiguated ID Type / Status
Subject Agulu E581757 entity
Predicate near P350 FINISHED
Object Awka 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: Awka | Statement: [Agulu, near, Awka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awka
Context triple: [Agulu, near, Awka]
  • A. Awka chosen
    Awka is the capital city of Anambra State in southeastern Nigeria, known as a historic center of blacksmithing and regional commerce.
  • B. Awka South
    Awka South is a local government area in Anambra State, southeastern Nigeria, that includes the city of Awka and its surrounding communities.
  • C. Kasai
    Kasai is a Japanese surname borne by various notable individuals across fields such as sports, entertainment, and public health.
  • D. Akwanga
    Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.