Triple

T21247280
Position Surface form Disambiguated ID Type / Status
Subject Ujjayini E523643 entity
Predicate alternateName P39 FINISHED
Object Ujjeni 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: Ujjeni | Statement: [Ujjayini, alternateName, Ujjeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ujjeni
Context triple: [Ujjayini, alternateName, Ujjeni]
  • A. Ujaini chosen
    Ujaini is a clan name variant associated with the Ujjainiya community, traditionally linked to the historic city of Ujjain in India.
  • B. Ushguli
    Ushguli is a remote highland village community in Georgia’s Svaneti region, renowned for its medieval stone towers, well-preserved Svan culture, and status as one of the highest continuously inhabited settlements in Europe.
  • C. Sikuani
    The Sikuani are an Indigenous people of the Colombian and Venezuelan Llanos, known for their semi-nomadic traditions, rich oral culture, and Guahiboan language.
  • D. Nyanjoga
    Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
  • E. Ubulu-Uku
    Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359abdac81908b74dad1b8cc0aa9 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:54 p.m.