Triple

T21641121
Position Surface form Disambiguated ID Type / Status
Subject Indian cuisine E534089 entity
Predicate hasDessert P90648 FINISHED
Object rasgulla 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: rasgulla | Statement: [Indian cuisine, hasDessert, rasgulla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rasgulla
Context triple: [Indian cuisine, hasDessert, rasgulla]
  • A. Rasgulla chosen
    Rasgulla is a popular Indian dessert made of soft, spongy balls of chhena (fresh curd cheese) cooked in light sugar syrup.
  • B. Chakola
    Chakola is a small rural locality in New South Wales, Australia, situated in the Monaro region.
  • C. Calicut Halwa
    Calicut Halwa is a rich, colorful, and chewy traditional sweet from Kozhikode in Kerala, India, made primarily from flour, sugar, and ghee and known for its glossy texture and variety of flavors.
  • D. Bal Mithai
    Bal Mithai is a popular North Indian sweet from Uttarakhand, made of roasted khoya coated with sugar balls and especially associated with the town of Almora.
  • E. shrikhand
    Shrikhand is a traditional Indian dessert made from strained yogurt, typically sweetened and flavored with ingredients like sugar, cardamom, and saffron.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53917f3c81909e7f4074beecefd3 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.