Triple

T441283
Position Surface form Disambiguated ID Type / Status
Subject Lagos E10118 entity
Predicate capitalOf P204 FINISHED
Object Lagos State E10118 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: Lagos State | Statement: [Lagos, capitalOf, Lagos State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagos State
Context triple: [Lagos, capitalOf, Lagos State]
  • A. Lagos
    Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
  • B. Lagos chosen
    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. Ijaw
    The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
  • 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. Port Harcourt
    Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a442a2d9f081909d24508d8a19c020 completed March 1, 2026, 1:44 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.