Triple

T8276655
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart Ballet E193562 entity
Predicate hasAudienceReach P82449 FINISHED
Object international 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: international | Statement: [Stuttgart Ballet, hasAudienceReach, international]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAudienceReach
Context triple: [Stuttgart Ballet, hasAudienceReach, international]
  • A. hasAudience
    Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
  • B. hasAudienceSize
    Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
  • C. hasAudienceReception
    Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
  • D. hasAudienceShareRank
    Indicates the relative position or ranking of an entity based on the size or proportion of its audience share compared to others.
  • E. approximateAudienceSize
    Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ea3fb481908b59414702a5147e completed March 31, 2026, 7:38 a.m.
PD Predicate disambiguation batch_69cb70a4525481909399d313a6247ace completed March 31, 2026, 6:58 a.m.
PDg Predicate description generation batch_69cb76d648988190ab0669cc0592e827 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:51 p.m.