Triple

T11114565
Position Surface form Disambiguated ID Type / Status
Subject Keliko language E262850 entity
Predicate region P40 FINISHED
Object Yei River State E905153 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: Yei River State | Statement: [Keliko language, region, Yei River State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yei River State
Context triple: [Keliko language, region, Yei River State]
  • A. Yei River State chosen
    Yei River State was a former administrative region in South Sudan, located in the southern part of the country and known for its ethnic and linguistic diversity.
  • B. Taraba State
    Taraba State is a largely agrarian and ethnically diverse state in northeastern Nigeria, known for its mountainous terrain, the Mambilla Plateau, and significant agricultural production.
  • C. Kota State
    Kota State was a princely state in the Rajputana region of British India, ruled by Rajput princes and centered on the city of Kota in present-day Rajasthan.
  • D. Chuda State
    Chuda State was a former princely state in western India historically associated with the Jhala Rajput dynasty.
  • E. Imo State
    Imo State is a southeastern Nigerian state known for its oil-rich economy, dense population, and cultural heritage of the Igbo people.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441cb16bc81908b5321506f655e38 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.