Triple

T34409142
Position Surface form Disambiguated ID Type / Status
Subject MTV Germany E883204 entity
Predicate linearTelevision P179172 FINISHED
Object true 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: true | Statement: [MTV Germany, linearTelevision, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linearTelevision
Context triple: [MTV Germany, linearTelevision, true]
  • A. televisionCategory
    Indicates the classification or genre category assigned to a television-related entity (such as a show, channel, or program).
  • B. televisionAspect
    Indicates the aspect ratio or format characteristics of a television display in relation to its width and height proportions.
  • C. televisionShare
    Indicates the proportion of total television audience or viewing time captured by a particular program, channel, or entity relative to all viewing in a given market or period.
  • D. televisionOutlet
    Indicates a relationship where an entity functions as a television broadcasting outlet or channel for another entity.
  • E. televisionWork
    Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
  • F. None of above. chosen

Provenance (4 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_69f349c1f2208190a09a489bb8b2719d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
PDg Predicate description generation batch_69f71c33edac8190a59f6ff19b265fc5 completed May 3, 2026, 9:58 a.m.
Created at: May 1, 2026, 1:59 a.m.