Triple

T24180628
Position Surface form Disambiguated ID Type / Status
Subject Hear Me Out E599411 entity
Predicate hasProducerCountry P27800 FINISHED
Object Netherlands NE NERFINISHED

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: Netherlands | Statement: [Hear Me Out, hasProducerCountry, Netherlands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProducerCountry
Context triple: [Hear Me Out, hasProducerCountry, Netherlands]
  • A. isProducedIn
    Indicates that something is created, manufactured, or generated within a particular place, context, or process.
  • B. createdByCountryOfOrigin
    Indicates that something was created by the country from which it originally comes or is associated as its origin.
  • C. originallyProducedIn
    Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
  • D. productionCountries
    Indicates the countries where a work (such as a film or TV show) was produced or financed.
  • E. producerNationality chosen
    Indicates that a producer has a particular national affiliation or country of origin.
  • 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_69e288cca05481908faeb1563711114a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27c9ddfcc819096697a844b300cce completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c42f942c8190b103ff29a60fef34 completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:34 p.m.