Triple

T7440423
Position Surface form Disambiguated ID Type / Status
Subject Swaminarayan Sampradaya E171734 entity
Predicate festival P3113 FINISHED
Object Annakut E522737 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: Annakut | Statement: [Swaminarayan Sampradaya, festival, Annakut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annakut
Context triple: [Swaminarayan Sampradaya, festival, 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. Awankari
    Awankari is a lesser-known Northwestern Indo-Aryan language variety traditionally spoken in parts of northern Pakistan.
  • C. A’aninin
    A’aninin, also known as the Gros Ventre, are a Native American people of the Northern Plains historically associated with present-day Montana.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Asake
    Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34d84008190936af2b3670ef210 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82791ff2c81909967f145d24ff036 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.