Triple

T36235476
Position Surface form Disambiguated ID Type / Status
Subject Harrods Beauty E891365 entity
Predicate availableChannel P71475 FINISHED
Object in-store 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: in-store | Statement: [Harrods Beauty, availableChannel, in-store]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: availableChannel
Context triple: [Harrods Beauty, availableChannel, in-store]
  • A. availabilityChannel chosen
    Indicates the medium or channel through which something (such as a product, service, or resource) is made available or can be accessed.
  • B. canChannel
    Indicates that one entity is able to direct, transmit, or route something (such as information, energy, or resources) through another entity or medium.
  • C. ownedChannel
    Indicates that one entity possesses ownership or control over a particular channel.
  • D. supportsChannels
    Indicates that one entity is capable of handling, providing, or being compatible with one or more specified channels for communication, distribution, or operation.
  • E. hasChannel
    Indicates that one entity possesses, provides, or is associated with a particular communication or distribution channel.
  • 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_69f76e4387048190a1b27bcbf4ec7423 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bcccd7988190aa5c931ff347d33c completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:09 p.m.