Triple

T4802446
Position Surface form Disambiguated ID Type / Status
Subject Makurdi E106865 entity
Predicate roadConnection P385 FINISHED
Object Abuja 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 | Statement: [Makurdi, roadConnection, Abuja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abuja
Context triple: [Makurdi, roadConnection, Abuja]
  • A. Abuja chosen
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • B. 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.
  • C. Lagos
    Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
  • D. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • E. 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.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4400103c8190a5417fe75fb50f81 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.