Triple

T6294492
Position Surface form Disambiguated ID Type / Status
Subject Itelmens E141096 entity
Predicate traditionalFoodPreservation P21580 FINISHED
Object drying 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: drying | Statement: [Itelmens, traditionalFoodPreservation, drying]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalFoodPreservation
Context triple: [Itelmens, traditionalFoodPreservation, drying]
  • A. traditionalCuisine
    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.
  • B. preservationMethod chosen
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • C. traditionalDish
    Indicates that the object is a dish customarily prepared, eaten, or recognized within the subject’s cultural or regional tradition.
  • D. traditionalPreparation
    Indicates that something is prepared or made using customary, long-established methods or techniques associated with a particular culture or practice.
  • E. traditionalSubsistence
    Indicates that an entity relies on customary, small-scale methods of obtaining food and resources (such as hunting, gathering, fishing, or small-scale farming) primarily for direct consumption rather than for market sale.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06438654481908c9833c5f0d61773 completed March 22, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69c060df0d8881908215575862ef6831 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:27 p.m.