Triple

T33790795
Position Surface form Disambiguated ID Type / Status
Subject camphechlor E865924 entity
Predicate wasBannedForMostUsesIn P30858 FINISHED
Object United States 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: United States | Statement: [camphechlor, wasBannedForMostUsesIn, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasBannedForMostUsesIn
Context triple: [camphechlor, wasBannedForMostUsesIn, United States]
  • A. wasBannedAs
    Indicates that an entity was prohibited or barred from participation, access, or activity in a specific role, capacity, or status.
  • B. bannedAfter
    Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
  • C. wasBannedDuring
    Indicates that an entity was prohibited or barred from participation or access for the duration of a specified time period or event.
  • D. isOftenProhibitedAt
    Indicates that something is frequently not allowed or banned in a particular place, context, or situation.
  • E. restrictedFromUseFor chosen
    Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
  • 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.