Triple

T674366
Position Surface form Disambiguated ID Type / Status
Subject Cannabaceae E13047 entity
Predicate containsGenus P9413 FINISHED
Object Gironniera
Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
E83265 NE FINISHED

How this triple was built (4 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: Gironniera | Statement: [Cannabaceae, containsGenus, Gironniera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gironniera
Context triple: [Cannabaceae, containsGenus, Gironniera]
  • A. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Gachetá
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gironniera
Triple: [Cannabaceae, containsGenus, Gironniera]
Generated description
Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gironniera
Target entity description: Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
  • A. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Gachetá
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • F. None of above. chosen

Provenance (5 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_69a5c3a1b6588190b0c9215afb3a9200 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c7ff50088190827743f3f42622ce completed March 2, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd1dd7848190a987276500040a4f completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.