Triple

T14391985
Position Surface form Disambiguated ID Type / Status
Subject Bachama E356864 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, traditionalRulerTitle, Hama Bachama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hama Bachama
Context triple: [Bachama, 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. Hamap
    Hamap is a Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • D. Bakoteh
    Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • E. Chamalals
    The Chamalals are a small indigenous ethnic group of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional mountain village lifestyle.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.