Triple

T21641228
Position Surface form Disambiguated ID Type / Status
Subject Middle Eastern cuisine E534090 entity
Predicate typicalDietType P34157 FINISHED
Object omnivorous 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: omnivorous | Statement: [Middle Eastern cuisine, typicalDietType, omnivorous]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalDietType
Context triple: [Middle Eastern cuisine, typicalDietType, omnivorous]
  • A. dietVersion
    Indicates that one diet is a specific version, variant, or iteration of another diet.
  • B. characterizesDietAs
    Indicates that one entity describes, defines, or assigns the type or nature of another entity’s diet.
  • C. nutritionType
    Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
  • D. dietaryOptions chosen
    Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
  • E. nutritionStandard
    Indicates that something complies with, or is evaluated against, a defined set of nutritional guidelines or requirements.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53917f3c81909e7f4074beecefd3 completed April 27, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69e69677b9c48190bf81f795aa8ad74e completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:35 p.m.