Triple

T17952764
Position Surface form Disambiguated ID Type / Status
Subject Tapati E448871 entity
Predicate child P120 FINISHED
Object Kuru 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: Kuru | Statement: [Tapati, child, Kuru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuru
Context triple: [Tapati, child, Kuru]
  • A. Kuru
    Kuru is a town in Jos South Local Government Area of Plateau State, central Nigeria, known for its educational institutions and proximity to the city of Jos.
  • B. Kuru chosen
    Kuru refers to an ancient Indo-Aryan tribe and kingdom of northern India, prominently featured in the Mahabharata as the ancestral lineage of the Kauravas and Pandavas.
  • C. Tshilamoya
    Tshilamoya is the popular nickname of Highlanders F.C., one of Zimbabwe’s oldest and most successful football clubs.
  • D. Surra
    Surra is a residential district in Kuwait City known for its central location and mix of housing, schools, and local services.
  • E. nkisi nkondi
    Nkisi nkondi are power figures from Kongo spiritual and artistic traditions, wooden sculptures embedded with nails or blades and used to harness spiritual forces for protection, justice, and healing.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afad61f481908b34cd24de88983c completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.