Triple

T674409
Position Surface form Disambiguated ID Type / Status
Subject Cannabaceae E13047 entity
Predicate namedAfter P63 FINISHED
Object Cannabis E10150 NE 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: Cannabis | Statement: [Cannabaceae, namedAfter, Cannabis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannabis
Context triple: [Cannabaceae, namedAfter, Cannabis]
  • A. Cannabis chosen
    Cannabis is a genus of flowering plants best known for producing psychoactive and medicinal compounds such as THC and CBD, widely used for recreational, therapeutic, and industrial (hemp) purposes.
  • B. Ganja
    Ganja is one of Azerbaijan’s largest and oldest cities, known as a historic cultural and economic center in the South Caucasus.
  • C. THC
    THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
  • D. Canna
    Canna is a small, historically rich island in Scotland’s Inner Hebrides, known for its wildlife, archaeological sites, and ownership by the National Trust for Scotland.
  • E. CBD
    CBD is a non-intoxicating compound found in cannabis that is widely used for its potential therapeutic effects, such as reducing anxiety, pain, and inflammation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a02537d08190942ee5fc8c50610a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6374cc0d48190900e96a374ce35af completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.