Triple

T6841578
Position Surface form Disambiguated ID Type / Status
Subject Golden Globe Award for Best Foreign Language Film nomination E157785 entity
Predicate notableRegionOfOrigin P39809 FINISHED
Object various countries worldwide 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: various countries worldwide | Statement: [Golden Globe Award for Best Foreign Language Film nomination, notableRegionOfOrigin, various countries worldwide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableRegionOfOrigin
Context triple: [Golden Globe Award for Best Foreign Language Film nomination, notableRegionOfOrigin, various countries worldwide]
  • A. notableInRegion chosen
    Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
  • B. speciesOrigin
    Indicates the place, environment, or source from which a species originally arose or evolved.
  • C. placeOfOrigin
    Indicates the location or source from which an entity originally comes or was created.
  • D. laterCountryOfOrigin
    Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
  • E. foundingRegion
    Indicates the geographic region where an entity (such as an organization, movement, or institution) was originally founded.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c6d09f90648190bc0a462c7d59de1b completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:19 p.m.