Triple

T8251865
Position Surface form Disambiguated ID Type / Status
Subject Hagenia abyssinica E192976 entity
Predicate genus P87 FINISHED
Object Hagenia
Hagenia is a small genus of flowering trees in the rose family, best known for the African species Hagenia abyssinica used in traditional medicine.
 E192976 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: Hagenia | Statement: [Hagenia abyssinica, genus, Hagenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hagenia
Context triple: [Hagenia abyssinica, genus, Hagenia]
  • A. Hagenia abyssinica
    Hagenia abyssinica is a large, medicinally important tree native to East African highland regions, commonly found in Afromontane forests.
  • B. Khaya
    Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
  • C. Isoberlinia
    Isoberlinia is a genus of African trees in the legume family, best known for forming extensive dry woodlands and savanna ecosystems.
  • D. Grosmannia
    Grosmannia is a genus of ascomycete fungi, many of which are important tree pathogens often associated with bark beetles and blue-stain of conifer wood.
  • E. Sageretia
    Sageretia is a genus of flowering shrubs and small trees, often used in bonsai, known for their small leaves and colorful, peeling bark.
  • 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: Hagenia
Triple: [Hagenia abyssinica, genus, Hagenia]
Generated description
Hagenia is a small genus of flowering trees in the rose family, best known for the African species Hagenia abyssinica used in traditional medicine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hagenia
Target entity description: Hagenia is a small genus of flowering trees in the rose family, best known for the African species Hagenia abyssinica used in traditional medicine.
  • A. Hagenia abyssinica chosen
    Hagenia abyssinica is a large, medicinally important tree native to East African highland regions, commonly found in Afromontane forests.
  • B. Khaya
    Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
  • C. Isoberlinia
    Isoberlinia is a genus of African trees in the legume family, best known for forming extensive dry woodlands and savanna ecosystems.
  • D. Grosmannia
    Grosmannia is a genus of ascomycete fungi, many of which are important tree pathogens often associated with bark beetles and blue-stain of conifer wood.
  • E. Sageretia
    Sageretia is a genus of flowering shrubs and small trees, often used in bonsai, known for their small leaves and colorful, peeling bark.
  • F. None of above.

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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78ca4b0881909bb1fb550dba59e7 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3540a0988190b8e48988279403db completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.