Triple

T674379
Position Surface form Disambiguated ID Type / Status
Subject Cannabaceae E13047 entity
Predicate containsGenus P9413 FINISHED
Object Urera E100696 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: Urera | Statement: [Cannabaceae, containsGenus, Urera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urera
Context triple: [Cannabaceae, containsGenus, Urera]
  • A. Urera chosen
    Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
  • B. Ruza River
    The Ruza River is a waterway in western Russia that serves as one of the tributaries feeding into the Moskva River.
  • C. Mataniko River
    The Mataniko River is a significant waterway on Guadalcanal in the Solomon Islands, flowing through the capital city of Honiara and historically known for its role in World War II and frequent flooding.
  • D. Daule River
    The Daule River is a major river in western Ecuador that flows through agricultural regions and urban areas before joining other waterways to form the Guayas River system.
  • E. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • 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_69ac4279b23c8190854732f4d6d5d6cd completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:36 p.m.