Triple

T3191220
Position Surface form Disambiguated ID Type / Status
Subject Asokoro E66826 entity
Predicate partOf P40 FINISHED
Object Abuja urban area E9148 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: Abuja urban area | Statement: [Asokoro, partOf, Abuja urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abuja urban area
Context triple: [Asokoro, partOf, Abuja urban area]
  • A. Abuja chosen
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • B. Three Arms Zone, Abuja
    Three Arms Zone, Abuja is a high-security government district in Nigeria’s capital city that houses the country’s three branches of government, including the National Assembly, the Presidential Villa, and the Supreme Court.
  • C. Central Business District, Abuja
    Central Business District, Abuja is the main commercial and administrative hub of Nigeria’s capital city, hosting key government institutions, corporate offices, and major businesses.
  • D. Lagos
    Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
  • E. Lagos
    Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e7d0d081908b1c36bb909a58bf completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f0130db48190b6662c8dabf67d1d completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.