Triple

T34919726
Position Surface form Disambiguated ID Type / Status
Subject British South Africa Company rule in Matabeleland E1007101 entity
Predicate notableIndigenousLeaderOpposed P198431 FINISHED
Object Mlimo
Mlimo was a revered Ndebele spiritual leader and oracle who inspired and guided resistance against colonial encroachment in what is now Zimbabwe.
E2117686 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: Mlimo | Statement: [British South Africa Company rule in Matabeleland, notableIndigenousLeaderOpposed, Mlimo]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mlimo
Triple: [British South Africa Company rule in Matabeleland, notableIndigenousLeaderOpposed, Mlimo]
Generated description
Mlimo was a revered Ndebele spiritual leader and oracle who inspired and guided resistance against colonial encroachment in what is now Zimbabwe.

Provenance (5 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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a03809a38c08190b5a19a0c05c25346 completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f6638481909e3720dc8e16be71 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378abf1b0481909040f688fadcf447 completed June 21, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a378bc690f08190970e7b189ff9627c completed June 21, 2026, 6:59 a.m.
Created at: May 3, 2026, 4 p.m.