Triple

T3274841
Position Surface form Disambiguated ID Type / Status
Subject Yoruba people E68734 entity
Predicate historicalCity P3786 FINISHED
Object Oyo E56234 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: [Yoruba people, historicalCity, Oyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyo
Context triple: [Yoruba people, historicalCity, Oyo]
  • A. Oyo chosen
    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
    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. Jin State
    Jin State was a powerful feudal kingdom during China’s Spring and Autumn period, known for its military strength and pivotal role in the political balance among the Zhou dynasty states.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e841d5588190a53ba90a46721b0f completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.