Triple

T2553610
Position Surface form Disambiguated ID Type / Status
Subject trivago E56681 entity
Predicate earnsFrom P30192 FINISHED
Object referral fees 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: referral fees | Statement: [trivago, earnsFrom, referral fees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: earnsFrom
Context triple: [trivago, earnsFrom, referral fees]
  • A. earnOn chosen
    Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
  • B. gainedFrom
    Indicates that something is obtained, acquired, or derived as a result of a specified source or cause.
  • C. derivesFromOccupation
    Indicates that one entity originates from, is obtained through, or is a result of another entity’s occupation or professional role.
  • D. incomeType
    Indicates the category or source classification of an entity’s income within a given context.
  • E. requiresEarnedIncome
    Indicates that something is conditional upon an individual or entity having earned income, such as wages or salary, in order to qualify or apply.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.