Triple

T6533543
Position Surface form Disambiguated ID Type / Status
Subject Great Lash mascara E152289 entity
Predicate availabilityChannel P71475 FINISHED
Object drugstores 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: drugstores | Statement: [Great Lash mascara, availabilityChannel, drugstores]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: availabilityChannel
Context triple: [Great Lash mascara, availabilityChannel, drugstores]
  • A. hasCustomerServiceChannel
    Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
  • B. availabilityStatus
    Indicates the current state of whether something is obtainable, usable, or accessible at a given time.
  • C. communicationChannel
    Indicates a medium or method through which information is transmitted between parties.
  • D. availability
    Indicates that an entity is present, accessible, or ready for use or interaction by another entity.
  • E. availabilityModel
    Indicates how and under what conditions an entity is available for use, access, or interaction.
  • F. None of above. chosen

Provenance (4 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbf3a748190b0fb52122faaf6d3 completed March 27, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69c68abd9c7c819099e4fe8097cd1b28 completed March 27, 2026, 1:48 p.m.
PDg Predicate description generation batch_69c69f362ee4819090e8fa48caef7d7d completed March 27, 2026, 3:16 p.m.
Created at: March 27, 2026, 1:46 p.m.