Triple

T19708035
Position Surface form Disambiguated ID Type / Status
Subject Shri Nathji E473265 entity
Predicate mainFestival P41325 FINISHED
Object Annakut 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: Annakut | Statement: [Shri Nathji, mainFestival, Annakut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annakut
Context triple: [Shri Nathji, mainFestival, Annakut]
  • A. Annakut chosen
    Annakut is a Hindu festival, especially prominent in Swaminarayan tradition, in which a grand variety of vegetarian foods is ceremonially offered to God as an expression of gratitude and devotion.
  • B. Annakin
    Annakin is a surname most notably associated with British film director Ken Annakin, known for his work on classic adventure and war films.
  • C. Anyuak
    The Anyuak are a Nilotic ethnic group primarily inhabiting parts of South Sudan and western Ethiopia, known for their agro-pastoral lifestyle and rich oral traditions.
  • D. Awankari
    Awankari is a lesser-known Northwestern Indo-Aryan language variety traditionally spoken in parts of northern Pakistan.
  • E. Aknalich
    Aknalich is a village in western Armenia notable for its proximity to Lake Aknalich and its location within the country’s agriculturally rich Ararat plain.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642bc754481908bdf5bfad069aec8 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.