Triple

T8782866
Position Surface form Disambiguated ID Type / Status
Subject Islam in Lake Chad region E208973 entity
Predicate associatedWithCity P1481 FINISHED
Object Ngazargamu E212833 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: Ngazargamu | Statement: [Islam in Lake Chad region, associatedWithCity, Ngazargamu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngazargamu
Context triple: [Islam in Lake Chad region, associatedWithCity, Ngazargamu]
  • A. Ngazargamu chosen
    Ngazargamu was the principal capital city of the Kanem-Bornu Empire in the Lake Chad region, serving as a major political and commercial center in precolonial West Africa.
  • B. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • C. Ghanongga
    Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
  • D. Bargachia
    Bargachia is a small town in the Howrah district of West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
  • E. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7155b081908891e84b704f0ebf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51e9d97c8190a947848fdaa5b67d completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.