Triple

T8499362
Position Surface form Disambiguated ID Type / Status
Subject The Assault (1986 film) E201175 entity
Predicate countryForAcademySubmission P83065 FINISHED
Object Netherlands E864 NE FINISHED

How this triple was built (3 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: [The Assault (1986 film), countryForAcademySubmission, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Netherlands
Context triple: [The Assault (1986 film), countryForAcademySubmission, Netherlands]
  • A. Netherlands chosen
    The Netherlands is a Western European country known for its low-lying geography, extensive canal systems, and historically significant role in global trade and European politics.
  • B. Holland
    Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
  • C. Holland
    Holland is a regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
  • D. Holland
    Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
  • E. Belgium and the Netherlands
    Belgium and the Netherlands are neighboring Western European countries known for their shared lowland geography, dense river networks, and closely intertwined cultural and economic ties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: countryForAcademySubmission
Context triple: [The Assault (1986 film), countryForAcademySubmission, Netherlands]
  • A. countryOfInstitution
    Indicates the country in which an institution is located or officially based.
  • B. countryOfAwarding
    Indicates the country that officially granted or conferred a particular award, honor, or recognition.
  • C. homeCountryUniversitySystem
    Indicates that a university operates within and is governed by the higher-education system of a specified home country.
  • D. countryOfAccreditation
    Indicates the country in which an entity (such as a diplomat, embassy, or representative) is officially accredited or recognized to operate.
  • E. countryOfResearch
    Indicates the country where the research activity was primarily conducted or based.
  • F. None of above. chosen

Provenance (5 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5984d7481908c41c57bef9cf254 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88e0e08c819085d29157349a6ef6 completed April 2, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69cbd10a4b0881909e254117780dc823 completed March 31, 2026, 1:50 p.m.
PDg Predicate description generation batch_69cbe30d453481908f897ed2b06e7534 completed March 31, 2026, 3:06 p.m.
Created at: March 30, 2026, 6:14 p.m.