Triple

T5935397
Position Surface form Disambiguated ID Type / Status
Subject College van Beroep voor het bedrijfsleven E132029 entity
Predicate bindingAuthority P49376 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: [College van Beroep voor het bedrijfsleven, bindingAuthority, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Netherlands
Context triple: [College van Beroep voor het bedrijfsleven, bindingAuthority, 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: bindingAuthority
Context triple: [College van Beroep voor het bedrijfsleven, bindingAuthority, Netherlands]
  • A. bindingAuthorityFor chosen
    Indicates that one entity has the legal or formal power to create obligations or make decisions that are binding on another entity.
  • B. bindingFor
    Indicates that one entity serves as the binding, constraint, or linkage mechanism that determines how another entity is associated, applied, or made effective.
  • C. binding
    Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
  • D. designatesAuthority
    Indicates that one entity formally assigns or confers decision-making power or control over something to another entity.
  • E. usesAuthorityOf
    Indicates that one entity exercises power, rights, or influence derived from or on behalf of another entity’s authority.
  • F. None of above.

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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03f26f51881908cc253fe5775a1fc completed March 22, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13540fa788190a09a509267bdb147 completed March 23, 2026, 12:42 p.m.
PD Predicate disambiguation batch_69c03355caf08190b960563a1aed23f9 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:01 p.m.