Triple

T17076793
Position Surface form Disambiguated ID Type / Status
Subject non-alcoholic beverages industry E414368 entity
Predicate majorDistributionChannel P35642 FINISHED
Object supermarkets and hypermarkets 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: supermarkets and hypermarkets | Statement: [non-alcoholic beverages industry, majorDistributionChannel, supermarkets and hypermarkets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorDistributionChannel
Context triple: [non-alcoholic beverages industry, majorDistributionChannel, supermarkets and hypermarkets]
  • A. secondaryDistributionChannel
    Indicates that an entity is used as an additional, non-primary channel through which a product, service, or content is distributed.
  • B. majorOutlet
    Indicates that an entity functions as a primary or significant distribution or publication channel for another entity.
  • C. salesChannels chosen
    Indicates the channels or methods through which a product or service is marketed, sold, or distributed to customers.
  • D. distributesFrom
    Indicates that something acts as the source or origin from which items, resources, or information are distributed to others.
  • E. distributorType
    Indicates the specific category or role of a distributor in relation to the distribution of a product or service.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc559388190b685504cca6ed62b completed April 18, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69e35d642f74819098c014135e249b27 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:34 a.m.