Triple

T9785388
Position Surface form Disambiguated ID Type / Status
Subject Kirat Mundhum E237479 entity
Predicate usesRitualSpecialist P17182 FINISHED
Object Yeba E763077 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: Yeba | Statement: [Kirat Mundhum, usesRitualSpecialist, Yeba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeba
Context triple: [Kirat Mundhum, usesRitualSpecialist, Yeba]
  • A. Yeba chosen
    Yeba are ritual specialists of the Limbu people who conduct traditional religious ceremonies, healing rites, and spiritual mediation within their indigenous belief system.
  • B. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • C. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • D. Yinjebi
    Yinjebi is an alternative name for the Nzebi people, a Bantu ethnic group primarily living in Gabon and the Republic of the Congo.
  • E. Ebabbar
    Ebabbar was the principal sun-god temple of the ancient Mesopotamian city of Sippar, dedicated to the deity Shamash.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.