Triple

T22460944
Position Surface form Disambiguated ID Type / Status
Subject Oikos E555226 entity
Predicate soldInRetailChannel P51662 FINISHED
Object supermarkets 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 | Statement: [Oikos, soldInRetailChannel, supermarkets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: soldInRetailChannel
Context triple: [Oikos, soldInRetailChannel, supermarkets]
  • A. salesChannels
    Indicates the channels or methods through which a product or service is marketed, sold, or distributed to customers.
  • B. isSoldIn chosen
    Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
  • C. hasRetailFormat
    Indicates that one entity operates or is organized according to a particular retail format or store type.
  • D. hasRetailPresenceIn
    Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
  • E. hasRetailSegment
    Indicates that an entity is associated with, operates within, or targets a specific retail market segment.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7f74948190beaf6ea24ba29276 completed April 29, 2026, 1:14 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:48 p.m.