Triple

T2583611
Position Surface form Disambiguated ID Type / Status
Subject Shango E57147 entity
Predicate cultCenter P9995 FINISHED
Object Oyo E276474 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: Oyo | Statement: [Shango, cultCenter, Oyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyo
Context triple: [Shango, cultCenter, Oyo]
  • A. Oyo
    Oyo is a prominent Yoruba subgroup historically known for its powerful Oyo Empire in what is now southwestern Nigeria.
  • B. Oyo State
    Oyo State is a southwestern Nigerian state historically known as the heartland of the old Oyo Empire and a major center of Yoruba culture and politics.
  • C. Oyo-Ile chosen
    Oyo-Ile was the historic political and cultural center of the Oyo Empire, one of the most powerful precolonial Yoruba states in West Africa.
  • D. Morvi State
    Morvi State was a former princely state in western India, historically governed by the Jadeja Rajput dynasty.
  • E. Tonk State
    Tonk State was a princely state in British India, notable for being one of the few Muslim-ruled states in the largely Rajput-dominated region of present-day Rajasthan.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cb33a08190a3eae1a95e1b63bf completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657f39dc8190971e0ad7a5396257 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.