Triple

T3941825
Position Surface form Disambiguated ID Type / Status
Subject Europaturm E92049 entity
Predicate hasBroadcastingRange P8301 FINISHED
Object covers large parts of Hesse 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: covers large parts of Hesse | Statement: [Europaturm, hasBroadcastingRange, covers large parts of Hesse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBroadcastingRange
Context triple: [Europaturm, hasBroadcastingRange, covers large parts of Hesse]
  • A. hasBroadcastScope chosen
    Indicates that a broadcast is intended to reach a specified scope or range of recipients, areas, or contexts.
  • B. hasBroadcastFrequency
    Indicates that an entity operates or transmits at a specified broadcast frequency.
  • C. hasBroadcastFeature
    Indicates that an entity includes or supports a broadcast-related capability or functionality.
  • D. hasBroadcastService
    Indicates that an entity provides or is associated with a particular broadcast service.
  • E. hasBroadcaster
    Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting organization.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1515c688190a38332aedeed8a76 completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee764235081909309b3c982f322a9 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:24 p.m.