Triple

T8806539
Position Surface form Disambiguated ID Type / Status
Subject Micro Focus E209545 entity
Predicate focusesOnCustomerType P809 FINISHED
Object large enterprises 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: large enterprises | Statement: [Micro Focus, focusesOnCustomerType, large enterprises]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnCustomerType
Context triple: [Micro Focus, focusesOnCustomerType, large enterprises]
  • A. customerFocus
    Indicates that one entity prioritizes understanding and meeting the needs, preferences, or satisfaction of another entity (typically a customer or client).
  • B. customerType chosen
    Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
  • C. customerGroup
    Indicates a relationship in which an entity belongs to, is classified under, or is associated with a particular group of customers.
  • D. majorCustomer
    Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
  • E. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd1f1a08190a2e584f6b0495f5c completed March 31, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69cc5c1f28ec8190a34311cb412920c2 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:45 p.m.