Triple

T26391682
Position Surface form Disambiguated ID Type / Status
Subject United for Wildlife transport and financial taskforces E663428 entity
Predicate worksWithIndustry P398 FINISHED
Object transport sector 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: transport sector | Statement: [United for Wildlife transport and financial taskforces, worksWithIndustry, transport sector]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worksWithIndustry
Context triple: [United for Wildlife transport and financial taskforces, worksWithIndustry, transport sector]
  • A. worksWith chosen
    Indicates that two entities collaborate or perform tasks together in a shared work-related context.
  • B. hasWorksIn
    Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
  • C. workedWithLanguageIndustry
    Indicates that an entity has performed work or professional activities within the language industry, such as translation, localization, interpreting, or related language services.
  • D. workAt
    Indicates that an entity is employed by or performs work for a particular organization, company, or place.
  • E. hasIndustryRole
    Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
  • 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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 26, 2026, 11:26 p.m.