Triple

T13349442
Position Surface form Disambiguated ID Type / Status
Subject African Elephant Conservation Act E318032 entity
Predicate legalStatusOfAfricanElephantIvoryInUS P106223 FINISHED
Object highly restricted 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: highly restricted | Statement: [African Elephant Conservation Act, legalStatusOfAfricanElephantIvoryInUS, highly restricted]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusOfAfricanElephantIvoryInUS
Context triple: [African Elephant Conservation Act, legalStatusOfAfricanElephantIvoryInUS, highly restricted]
  • A. legalStatusOfItems chosen
    Indicates the legal classification or regulatory standing that applies to specified items.
  • B. legalStatusClaimedByUS
    Indicates that the United States has asserted or claimed a particular legal status for the referenced entity or situation.
  • C. legalStatusOfBaldEagle
    Indicates the legal classification or protection status that applies to bald eagles under relevant laws or regulations.
  • D. wildlifeProtectionStatus
    Indicates the level or type of legal or conservation protection currently applied to wildlife.
  • E. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69d98f6e53d88190bd6aa42f69b10ffb completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:31 p.m.