Triple

T9012648
Position Surface form Disambiguated ID Type / Status
Subject Brilliant Lady E215511 entity
Predicate serviceChargePolicy P25908 FINISHED
Object tips included 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: tips included | Statement: [Brilliant Lady, serviceChargePolicy, tips included]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceChargePolicy
Context triple: [Brilliant Lady, serviceChargePolicy, tips included]
  • A. feePolicy chosen
    Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
  • B. usesPolicyRate
    Indicates that one entity applies or bases its actions or decisions on a specified policy interest rate.
  • C. subscriptionPolicy
    Indicates the rules, terms, and conditions that govern how a subscription is obtained, used, renewed, or terminated between parties.
  • D. featuresCharge
    Indicates that one entity includes, offers, or is characterized by a particular charge (such as a fee, cost, or pricing component).
  • E. setsPolicyRate
    Indicates that an entity determines and establishes the official policy interest rate applied within a monetary or regulatory framework.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f96980819093bfc49d48570c65 completed April 1, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69cc5edf84408190aa5f57cb8bfd00e1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:06 p.m.