Triple

T15610690
Position Surface form Disambiguated ID Type / Status
Subject Bachama people E375280 entity
Predicate traditionalRulerTitle P10605 FINISHED
Object Hama Bachama E356864 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: Hama Bachama | Statement: [Bachama people, traditionalRulerTitle, Hama Bachama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hama Bachama
Context triple: [Bachama people, traditionalRulerTitle, Hama Bachama]
  • A. Bachama chosen
    Bachama are an ethnic group in northeastern Nigeria known for their distinct language, rich cultural traditions, and historical presence along the Benue River region.
  • B. Hama Tuma
    Hama Tuma is an Ethiopian writer and political satirist known for his sharp, critical short stories and essays that challenge authoritarianism and social injustice.
  • C. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • D. Hamap
    Hamap is a Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • E. Bakoteh
    Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.