Triple

T21676233
Position Surface form Disambiguated ID Type / Status
Subject Supernatural E534977 entity
Predicate hasPart P35 FINISHED
Object Africa Bamba NE NERFINISHED

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: Africa Bamba | Statement: [Supernatural, hasPart, Africa Bamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Africa Bamba
Context triple: [Supernatural, hasPart, Africa Bamba]
  • A. Africa Bamba chosen
    Africa Bamba is a character from the television series "Supernatural," appearing as part of the show's expansive roster of minor and supporting figures in its paranormal narrative.
  • B. AbaBemba
    AbaBemba are a major Bantu ethnic group primarily found in northern Zambia, known for their rich cultural traditions, centralized chieftaincy, and historical Bemba Kingdom.
  • C. Mbamba
    Mbamba is a settlement located on Likoma Island in Lake Malawi, known as one of the island’s small lakeside communities.
  • D. Gombaniya
    Gombaniya is a prominent peak in central Sri Lanka known for its challenging hikes and panoramic views within the Knuckles Mountain Range.
  • E. Benga
    Benga is a Bantu language spoken primarily by the Benga people along the coastal regions and islands of Equatorial Guinea and northern Gabon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0f85748190944b9425ffed02ee completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:42 p.m.