Triple

T7306652
Position Surface form Disambiguated ID Type / Status
Subject Odia cuisine E167990 entity
Predicate usesMainIngredient P5291 FINISHED
Object rice LITERAL 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: rice | Statement: [Odia cuisine, usesMainIngredient, rice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMainIngredient
Context triple: [Odia cuisine, usesMainIngredient, rice]
  • A. hasMainIngredient chosen
    Indicates that one entity is the primary or most significant ingredient used to make another entity.
  • B. usesIngredient
    Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
  • C. usesRecipeOf
    Indicates that one entity prepares or creates something by following the recipe or formula originally defined or used by another entity.
  • D. isUsuallyCookedIn
    Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
  • E. isTypicallyGarnishedWith
    Indicates that one item is commonly used as a garnish or decorative finishing element for another.
  • F. None of above.

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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd7dcf88190b3e66bea327fc63d completed March 27, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69c6e76e67d88190bd3ca6864f45845a completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3:01 p.m.