Triple

T12276899
Position Surface form Disambiguated ID Type / Status
Subject Sayfawa dynasty E292610 entity
Predicate capitalAtVariousTimes P14584 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: [Sayfawa dynasty, capitalAtVariousTimes, Ngazargamu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngazargamu
Context triple: [Sayfawa dynasty, capitalAtVariousTimes, 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.