Triple

T9799887
Position Surface form Disambiguated ID Type / Status
Subject Agavoideae E237809 entity
Predicate containsTaxon P9413 FINISHED
Object Echeandia
Echeandia is a genus of flowering plants in the asparagus order, known for its grass-like leaves and often yellow, star-shaped flowers native to the Americas.
 E822129 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: Echeandia | Statement: [Agavoideae, containsTaxon, Echeandia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Echeandia
Context triple: [Agavoideae, containsTaxon, Echeandia]
  • A. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • B. Urrutia
    Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
  • C. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • D. Borbalán
    Borbalán is a small coastal village within the municipality of Valle Gran Rey on the island of La Gomera in Spain’s Canary Islands.
  • E. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • 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: Echeandia
Triple: [Agavoideae, containsTaxon, Echeandia]
Generated description
Echeandia is a genus of flowering plants in the asparagus order, known for its grass-like leaves and often yellow, star-shaped flowers native to the Americas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Echeandia
Target entity description: Echeandia is a genus of flowering plants in the asparagus order, known for its grass-like leaves and often yellow, star-shaped flowers native to the Americas.
  • A. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • B. Urrutia
    Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
  • C. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • D. Borbalán
    Borbalán is a small coastal village within the municipality of Valle Gran Rey on the island of La Gomera in Spain’s Canary Islands.
  • E. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda628fe0081909d2fbac3bd56ee84 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:28 p.m.