Triple

T3209368
Position Surface form Disambiguated ID Type / Status
Subject North East Nigeria E67241 entity
Predicate majorCity P316 FINISHED
Object Damaturu E321865 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: Damaturu | Statement: [North East Nigeria, majorCity, Damaturu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damaturu
Context triple: [North East Nigeria, majorCity, Damaturu]
  • A. Damaturu chosen
    Damaturu is the capital city of Yobe State in northeastern Nigeria, serving as an administrative and commercial center in the region.
  • B. Gbagyi
    Gbagyi is a Central Nigerian ethnic group known for its distinct language, rich cultural traditions, and widespread presence across parts of Niger, Kaduna, and the Federal Capital Territory.
  • C. Kololo Hill
    Kololo Hill is an upscale residential and diplomatic neighborhood in Kampala, Uganda, known for its embassies, luxury homes, and city views.
  • D. Sagbama
    Sagbama is a town and local government area in Bayelsa State in Nigeria’s Niger Delta region, known for its riverine communities and oil-rich environment.
  • E. Tanba highlands
    The Tanba Highlands are a mountainous region in central Honshu, Japan, known for their forested landscapes, rural scenery, and role as a watershed area for several major rivers.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab701c48190b91404ab416f7ce3 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262278ea48190a2664bda9af1632a completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.