Triple

T6381673
Position Surface form Disambiguated ID Type / Status
Subject Simaroubaceae E143596 entity
Predicate containsTaxon P9413 FINISHED
Object Hannoa
Hannoa is a small genus of flowering plants in the quassia family Simaroubaceae, known for its tropical trees and shrubs often containing bitter compounds.
 E588791 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: Hannoa | Statement: [Simaroubaceae, containsTaxon, Hannoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannoa
Context triple: [Simaroubaceae, containsTaxon, Hannoa]
  • A. Appia
    Appia is a surname most notably associated with Louis Appia, a pioneering Swiss surgeon and co-founder of the International Committee of the Red Cross.
  • B. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • C. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • D. Hanno
    Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • E. Ilanun
    Ilanun refers to the Iranun people, a seafaring ethnic group of the southern Philippines and parts of Sabah known historically for maritime trade and raiding.
  • 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: Hannoa
Triple: [Simaroubaceae, containsTaxon, Hannoa]
Generated description
Hannoa is a small genus of flowering plants in the quassia family Simaroubaceae, known for its tropical trees and shrubs often containing bitter compounds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannoa
Target entity description: Hannoa is a small genus of flowering plants in the quassia family Simaroubaceae, known for its tropical trees and shrubs often containing bitter compounds.
  • A. Appia
    Appia is a surname most notably associated with Louis Appia, a pioneering Swiss surgeon and co-founder of the International Committee of the Red Cross.
  • B. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • C. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • D. Hanno
    Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • E. Ilanun
    Ilanun refers to the Iranun people, a seafaring ethnic group of the southern Philippines and parts of Sabah known historically for maritime trade and raiding.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685385948190938b67bff671072b completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62db397f48190bc4533ce26b27a55 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62f1923408190996ba6dbb5bab651 completed March 27, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69c62f9797188190afb5313176e34864 completed March 27, 2026, 7:19 a.m.
Created at: March 22, 2026, 4:33 p.m.