Triple

T2103477
Position Surface form Disambiguated ID Type / Status
Subject Uber Pro E37140 entity
Predicate disclaimer P5035 FINISHED
Object benefits and eligibility vary by market 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: benefits and eligibility vary by market | Statement: [Uber Pro, disclaimer, benefits and eligibility vary by market]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disclaimer
Context triple: [Uber Pro, disclaimer, benefits and eligibility vary by market]
  • A. discloses chosen
    Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
  • B. disadvantage
    Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
  • C. discourages
    Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
  • D. restriction
    Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
  • E. disappearance
    Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabf7cdc81909636dff34badc1c5 completed March 7, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69abb7b7b6288190afa11b4d93bd5666 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.