Triple

T3910250
Position Surface form Disambiguated ID Type / Status
Subject Larrea tridentata E87303 entity
Predicate genus P87 FINISHED
Object Larrea
Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
 E399004 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: Larrea | Statement: [Larrea tridentata, genus, Larrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larrea
Context triple: [Larrea tridentata, genus, Larrea]
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • C. Gorbea
    Gorbea is a small Chilean municipality and town located in the Araucanía Region, known for its agricultural activities and rural character.
  • D. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • E. Cosío
    Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
  • 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: Larrea
Triple: [Larrea tridentata, genus, Larrea]
Generated description
Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larrea
Target entity description: Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • C. Gorbea
    Gorbea is a small Chilean municipality and town located in the Araucanía Region, known for its agricultural activities and rural character.
  • D. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • E. Cosío
    Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed3408f881908c3cffc5dbfe3950 completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285851248190a18cea371aacbc49 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5292b13a08190bf23231285adae38 completed March 14, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69b529600884819098cb208e38e6281a completed March 14, 2026, 9:24 a.m.
Created at: March 9, 2026, 3:22 p.m.