Triple

T2630023
Position Surface form Disambiguated ID Type / Status
Subject Citytv E59609 entity
Predicate brandingCharacteristic P14764 FINISHED
Object distinctive 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: distinctive | Statement: [Citytv, brandingCharacteristic, distinctive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brandingCharacteristic
Context triple: [Citytv, brandingCharacteristic, distinctive]
  • A. brandingFeature chosen
    Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
  • B. brandingNote
    Indicates that an entity has an associated note or comment specifically about its branding, such as style, usage, or presentation guidelines.
  • C. brandingGoal
    Indicates the strategic objective or desired outcome that an entity aims to achieve through its branding efforts.
  • D. brand
    Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
  • E. brandingMeaning
    Indicates the conceptual message, values, or identity that a brand is intended to convey or represent.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.