Triple

T10702344
Position Surface form Disambiguated ID Type / Status
Subject Lauraceae E252306 entity
Predicate includesGenus P1393 FINISHED
Object Persea
Persea is a genus of evergreen trees and shrubs in the laurel family best known for including the cultivated avocado.
 E880264 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: Persea | Statement: [Lauraceae, includesGenus, Persea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Persea
Context triple: [Lauraceae, includesGenus, Persea]
  • A. Bois d’Orange
    Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
  • B. Spondias
    Spondias is a genus of tropical fruit-bearing trees known for species like hog plum and ambarella, valued for their edible, often tangy fruits.
  • C. Myrt
    Myrt is the Allied reporting name for the Nakajima C6N, a fast, long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • D. Paliurus
    Paliurus is a small genus of spiny shrubs and small trees known for their distinctive disc-shaped, winged fruits and occurrence in warm temperate to subtropical regions of Eurasia.
  • E. Marquelia
    Marquelia is a coastal town in the Mexican state of Guerrero, known as an important local center in the Costa Chica region.
  • 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: Persea
Triple: [Lauraceae, includesGenus, Persea]
Generated description
Persea is a genus of evergreen trees and shrubs in the laurel family best known for including the cultivated avocado.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Persea
Target entity description: Persea is a genus of evergreen trees and shrubs in the laurel family best known for including the cultivated avocado.
  • A. Bois d’Orange
    Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
  • B. Spondias
    Spondias is a genus of tropical fruit-bearing trees known for species like hog plum and ambarella, valued for their edible, often tangy fruits.
  • C. Myrt
    Myrt is the Allied reporting name for the Nakajima C6N, a fast, long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • D. Paliurus
    Paliurus is a small genus of spiny shrubs and small trees known for their distinctive disc-shaped, winged fruits and occurrence in warm temperate to subtropical regions of Eurasia.
  • E. Marquelia
    Marquelia is a coastal town in the Mexican state of Guerrero, known as an important local center in the Costa Chica region.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8c835c8190bf1a67ee94195926 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998f5cda081909932daa3c98f8b46 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:12 p.m.