Triple

T11579972
Position Surface form Disambiguated ID Type / Status
Subject Umbanda E274598 entity
Predicate hasBranch P35 FINISHED
Object Umbanda Branca E274598 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: Umbanda Branca | Statement: [Umbanda, hasBranch, Umbanda Branca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umbanda Branca
Context triple: [Umbanda, hasBranch, Umbanda Branca]
  • A. Umbanda chosen
    Umbanda is a Brazilian syncretic religion that blends African traditions, Indigenous beliefs, and elements of Catholicism and Spiritism, centered on mediumship and the worship of various deities and spirits.
  • B. Banda-Ndélé
    Banda-Ndélé is a Banda language variety spoken in the Central African Republic, primarily by the Banda-Ndélé ethnic group.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • E. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.