Triple

T2712778
Position Surface form Disambiguated ID Type / Status
Subject Durbar festival E59899 entity
Predicate location P40 FINISHED
Object Bauchi E66827 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: Bauchi | Statement: [Durbar festival, location, Bauchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauchi
Context triple: [Durbar festival, location, Bauchi]
  • A. Bauchi chosen
    Bauchi is a prominent city in northeastern Nigeria that serves as the capital of Bauchi State and a key commercial and administrative center in the region.
  • B. Makurdi
    Makurdi is the capital city of Benue State in central Nigeria, serving as an important administrative and commercial hub in the region.
  • C. Kaduna
    Kaduna is a major industrial and political center in northern Nigeria, known for its diverse population and role as the capital of Kaduna State.
  • D. Ekiti
    Ekiti are a subgroup of the Yoruba people of southwestern Nigeria, known for their distinct dialect, rich cultural traditions, and strong emphasis on education.
  • E. Enugu
    Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda90d5a88190bcb6caefd8f2dd1b completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce8317fc8190ab3736b950b92495 completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:55 p.m.