Triple

T35191
Position Surface form Disambiguated ID Type / Status
Subject Easter E697 entity
Predicate associatedFood P1016 FINISHED
Object Easter bread 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: Easter bread | Statement: [Easter, associatedFood, Easter bread]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedFood
Context triple: [Easter, associatedFood, Easter bread]
  • A. diet
    Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
  • B. notablyAssociatedWith
    Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
  • C. traditionalCuisine chosen
    Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
  • D. complements
    Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
  • E. fueledBy
    Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24989c3308190af59dfae37cfc32f completed Feb. 28, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69a24873e97c8190b9e4279e43b6de14 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.