Triple

T8439187
Position Surface form Disambiguated ID Type / Status
Subject Morar E199306 entity
Predicate hasNearbyIsland P970 FINISHED
Object Canna E15003 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: Canna | Statement: [Morar, hasNearbyIsland, Canna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canna
Context triple: [Morar, hasNearbyIsland, Canna]
  • A. Canna chosen
    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.
  • B. Red Canna
    Red Canna is a famous flower painting by American artist Georgia O’Keeffe, celebrated for its close-up, abstracted depiction of a canna lily in vibrant, sensual colors.
  • C. Ganja
    Ganja is one of Azerbaijan’s largest and oldest cities, known as a historic cultural and economic center in the South Caucasus.
  • D. Acastus
    Acastus is a figure in Greek mythology, known as the son of King Pelias of Iolcus and one of the heroes who sailed with Jason on the quest for the Golden Fleece.
  • E. Datura
    Datura is a genus of flowering plants known for its large, trumpet-shaped blooms and highly toxic, hallucinogenic properties.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe135657c81908ed8156fbfbef6ec completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d87403c8190b979af4979e43517 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:08 p.m.